Data Driven And Model Based Methods For Fault Detection And Diagnosis

Data Driven And Model Based Methods For Fault Detection And Diagnosis Book PDF
✏Book Title : Data Driven and Model Based Methods for Fault Detection and Diagnosis
✏Author : Majdi Mansouri
✏Publisher : Elsevier
✏Release Date : 2020-02-05
✏Pages : 322
✏ISBN : 9780128191651
✏Available Language : English, Spanish, And French

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✏Data Driven and Model Based Methods for Fault Detection and Diagnosis Book Summary : Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring through chemical and environmental processes. The book provides both the theoretical framework and technical solutions. It starts with a review of relevant literature, proceeds with a detailed description of developed methodologies, and then discusses the results of developed methodologies, and ends with major conclusions reached from the analysis of simulation and experimental studies. The book is an indispensable resource for researchers in academia and industry and practitioners working in chemical and environmental engineering to do their work safely. Outlines latent variable based hypothesis testing fault detection techniques to enhance monitoring processes represented by linear or nonlinear input-space models (such as PCA) or input-output models (such as PLS) Explains multiscale latent variable based hypothesis testing fault detection techniques using multiscale representation to help deal with uncertainty in the data and minimize its effect on fault detection Includes interval PCA (IPCA) and interval PLS (IPLS) fault detection methods to enhance the quality of fault detection Provides model-based detection techniques for the improvement of monitoring processes using state estimation-based fault detection approaches Demonstrates the effectiveness of the proposed strategies by conducting simulation and experimental studies on synthetic data

Model And Data Driven Approaches To Fault Detection And Isolation In Complex Systems Book PDF
✏Book Title : Model and Data driven Approaches to Fault Detection and Isolation in Complex Systems
✏Author : Hamed Khorasgani
✏Publisher :
✏Release Date : 2018
✏Pages :
✏ISBN : OCLC:1101444770
✏Available Language : English, Spanish, And French

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✏Model and Data driven Approaches to Fault Detection and Isolation in Complex Systems Book Summary :

Data Driven Methods For Fault Detection And Diagnosis In Chemical Processes Book PDF
✏Book Title : Data driven Methods for Fault Detection and Diagnosis in Chemical Processes
✏Author : Evan L. Russell
✏Publisher : Springer Science & Business Media
✏Release Date : 2012-12-06
✏Pages : 192
✏ISBN : 9781447104094
✏Available Language : English, Spanish, And French

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✏Data driven Methods for Fault Detection and Diagnosis in Chemical Processes Book Summary : Early and accurate fault detection and diagnosis for modern chemical plants can minimise downtime, increase the safety of plant operations, and reduce manufacturing costs. The process-monitoring techniques that have been most effective in practice are based on models constructed almost entirely from process data. The goal of the book is to present the theoretical background and practical techniques for data-driven process monitoring. Process-monitoring techniques presented include: Principal component analysis; Fisher discriminant analysis; Partial least squares; Canonical variate analysis. The text demonstrates the application of all of the data-driven process monitoring techniques to the Tennessee Eastman plant simulator - demonstrating the strengths and weaknesses of each approach in detail. This aids the reader in selecting the right method for his process application. Plant simulator and homework problems in which students apply the process-monitoring techniques to a nontrivial simulated process, and can compare their performance with that obtained in the case studies in the text are included. A number of additional homework problems encourage the reader to implement and obtain a deeper understanding of the techniques. The reader will obtain a background in data-driven techniques for fault detection and diagnosis, including the ability to implement the techniques and to know how to select the right technique for a particular application.

Data Driven Design Of Fault Diagnosis Systems Book PDF
✏Book Title : Data Driven Design of Fault Diagnosis Systems
✏Author : Adel Haghani Abandan Sari
✏Publisher : Springer Science & Business
✏Release Date : 2014-04-22
✏Pages : 136
✏ISBN : 9783658058074
✏Available Language : English, Spanish, And French

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✏Data Driven Design of Fault Diagnosis Systems Book Summary : In many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity of process plants has been drastically increased, which imposes great challenges in development of model-based monitoring approaches and it sometimes becomes unrealistic for modern large-scale processes. The main objective of Adel Haghani Abandan Sari is to study efficient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. To this end, different methods are presented to solve the fault diagnosis problem based on the overall behavior of the process and its dynamics. Moreover, a novel technique is proposed for fault isolation and determination of the root-cause of the faults in the system, based on the fault impacts on the process measurements.

Data Driven Design Of Fault Diagnosis And Fault Tolerant Control Systems Book PDF
✏Book Title : Data driven Design of Fault Diagnosis and Fault tolerant Control Systems
✏Author : Steven X. Ding
✏Publisher : Springer Science & Business Media
✏Release Date : 2014-04-12
✏Pages : 300
✏ISBN : 9781447164104
✏Available Language : English, Spanish, And French

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✏Data driven Design of Fault Diagnosis and Fault tolerant Control Systems Book Summary : Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes. With ever increasing demands for reliability, availability and safety in technical processes and assets, process monitoring and fault-tolerance have become important issues surrounding the design of automatic control systems. This text shows the reader how, thanks to the rapid development of information technology, key techniques of data-driven and statistical process monitoring and control can now become widely used in industrial practice to address these issues. To allow for self-contained study and facilitate implementation in real applications, important mathematical and control theoretical knowledge and tools are included in this book. Major schemes are presented in algorithm form and demonstrated on industrial case systems. Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems will be of interest to process and control engineers, engineering students and researchers with a control engineering background.

Advanced Methods For Fault Diagnosis And Fault Tolerant Control Book PDF
✏Book Title : Advanced methods for fault diagnosis and fault tolerant control
✏Author : Steven X. Ding
✏Publisher : Springer Nature
✏Release Date :
✏Pages :
✏ISBN : 9783662620045
✏Available Language : English, Spanish, And French

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✏Advanced methods for fault diagnosis and fault tolerant control Book Summary :

Data Driven Fault Detection For Industrial Processes Book PDF
✏Book Title : Data Driven Fault Detection for Industrial Processes
✏Author : Zhiwen Chen
✏Publisher : Springer
✏Release Date : 2017-01-02
✏Pages : 112
✏ISBN : 9783658167561
✏Available Language : English, Spanish, And French

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✏Data Driven Fault Detection for Industrial Processes Book Summary : Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes. With the ever increasing demands on reliability and safety in industrial processes, fault detection has become an important issue. Although the model-based fault detection theory has been well studied in the past decades, its applications are limited to large-scale industrial processes because it is difficult to build accurate models. Furthermore, motivated by the limitations of existing data-driven FD methods, novel canonical correlation analysis (CCA) and projection-based methods are proposed from the perspectives of process input and output data, less engineering effort and wide application scope. For performance evaluation of FD methods, a new index is also developed.

Data Driven Detection And Diagnosis Of Faults In Traction Systems Of High Speed Trains Book PDF
✏Book Title : Data driven Detection and Diagnosis of Faults in Traction Systems of High speed Trains
✏Author : Hongtian Chen
✏Publisher : Springer Nature
✏Release Date : 2020-04-25
✏Pages : 160
✏ISBN : 9783030462635
✏Available Language : English, Spanish, And French

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✏Data driven Detection and Diagnosis of Faults in Traction Systems of High speed Trains Book Summary : This book addresses the needs of researchers and practitioners in the field of high-speed trains, especially those whose work involves safety and reliability issues in traction systems. It will appeal to researchers and graduate students at institutions of higher learning, research labs, and in the industrial R&D sector, catering to a readership from a broad range of disciplines including intelligent transportation, electrical engineering, mechanical engineering, chemical engineering, the biological sciences and engineering, economics, ecology, and the mathematical sciences.

Statistical Process Monitoring Using Advanced Data Driven And Deep Learning Approaches Book PDF
✏Book Title : Statistical Process Monitoring Using Advanced Data Driven and Deep Learning Approaches
✏Author : Fouzi Harrou
✏Publisher : Elsevier
✏Release Date : 2020-07-03
✏Pages : 328
✏ISBN : 9780128193662
✏Available Language : English, Spanish, And French

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✏Statistical Process Monitoring Using Advanced Data Driven and Deep Learning Approaches Book Summary : Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their performance and widen their practical applicability. The book proceeds with merging the desirable properties of shallow learning approaches – such as a one-class support vector machine and k-nearest neighbours and unsupervised deep learning approaches – to develop more sophisticated and efficient monitoring techniques. Finally, the developed approaches are applied to monitor many processes, such as waste-water treatment plants, detection of obstacles in driving environments for autonomous robots and vehicles, robot swarm, chemical processes (continuous stirred tank reactor, plug flow rector, and distillation columns), ozone pollution, road traffic congestion, and solar photovoltaic systems. Uses a data-driven based approach to fault detection and attribution Provides an in-depth understanding of fault detection and attribution in complex and multivariate systems Familiarises you with the most suitable data-driven based techniques including multivariate statistical techniques and deep learning-based methods Includes case studies and comparison of different methods

Bond Graph Model Based Fault Diagnosis Of Hybrid Systems Book PDF
✏Book Title : Bond Graph Model based Fault Diagnosis of Hybrid Systems
✏Author : Wolfgang Borutzky
✏Publisher : Springer
✏Release Date : 2014-11-04
✏Pages : 277
✏ISBN : 9783319118604
✏Available Language : English, Spanish, And French

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✏Bond Graph Model based Fault Diagnosis of Hybrid Systems Book Summary : This book presents bond graph model-based fault detection with a focus on hybrid system models. The book addresses model design, simulation, control and model-based fault diagnosis of multidisciplinary engineering systems. The text beings with a brief survey of the state-of-the-art, then focuses on hybrid systems. The author then uses different bond graph approaches throughout the text and provides case studies.

Data Driven Whole Building Fault Detection And Diagnosis Book PDF
✏Book Title : Data driven Whole Building Fault Detection and Diagnosis
✏Author : Yimin Chen
✏Publisher :
✏Release Date : 2019
✏Pages : 500
✏ISBN : OCLC:1129015179
✏Available Language : English, Spanish, And French

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✏Data driven Whole Building Fault Detection and Diagnosis Book Summary : Residential and commercial buildings are responsible for more than 40% of the primary energy consumption in the United States. Energy wastes are estimated to reach 15% to 30% of total energy consumption due to malfunctioning sensors, components, and control systems, as well as degrading components in Heating, Ventilation, Air-conditioning (HVAC) systems and lighting systems in commercial buildings in the U.S. Studies have demonstrated that a large energy saving can be achieved by automated fault detection and diagnosis (AFDD) followed by corrections. Field studies have shown that, AFDD tools can help to reach energy savings by 5-30% from different systems such as HVAC systems, lighting systems, and refrigeration systems. At the same time, the deployment of AFDD tools can also significantly improve indoor air quality, reduce peak demand, and lower pollution. In buildings, many components or equipment are closely coupled in a HVAC system. Because of the coupling, a fault happening in one component might propagate and affect other components or subsystems. In this study, a whole building fault (WBF) is defined as a fault that occurs in one component or equipment but causes fault impacts (abnormalities) on other components and subsystems, or causes significant impacts on energy consumption and/or indoor air quality. Over the past decades, extensive research have been conducted on the development of component AFDD methods and tools. However, whole building AFDD methods, which can detect and diagnose a WBF, have not been well studied. Existing component level AFDD solutions often fail to detect a WBF or generate a high false alarm rate. Isolating a WBF is also very challenging by using component level AFDD solutions. Even with the extensive research, cost-effectiveness and scalability of existing AFDD methods are still not satisfactory. Therefore, the focus of this research is to develop cost-effective and scalable solutions for WBF AFDD. This research attempts to integrate data-driven methods with expert knowledge/rules to overcome the above-mentioned challenges. A suite of WBF AFDD methods have hence been developed, which include: 1) a weather and schedule based pattern matching method and feature based Principal Component Analysis (WPM-FPCA) method for whole building fault detection. The developed WPM-FPCA method successfully overcome the challenges such as the generation of accurate and dynamic baseline and data dimensionality reduction. And 2) a data-driven and expert knowledge/rule based method using both Bayesian Network (BN) and WPM for WBF diagnosis. The developed WPM-BN method includes a two-layer BN structure model and BN parameter model which are either learned from baseline data or developed from expert knowledge. Various WBFs have been artificially implemented in a real demo building. Building operation data which include baseline data, data that contain naturally-occurred faults and artificially implemented faults are collected and analyzed. Using the collected real building data, the developed methods are evaluated. The evaluation demonstrates the efficacy of the developed methods to detect and diagnose a WBF, as well as their implementation cost-effectiveness.

Fault Diagnosis Of Hybrid Dynamic And Complex Systems Book PDF
✏Book Title : Fault Diagnosis of Hybrid Dynamic and Complex Systems
✏Author : Moamar Sayed-Mouchaweh
✏Publisher : Springer
✏Release Date : 2018-03-27
✏Pages : 286
✏ISBN : 9783319740140
✏Available Language : English, Spanish, And French

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✏Fault Diagnosis of Hybrid Dynamic and Complex Systems Book Summary : Online fault diagnosis is crucial to ensure safe operation of complex dynamic systems in spite of faults affecting the system behaviors. Consequences of the occurrence of faults can be severe and result in human casualties, environmentally harmful emissions, high repair costs, and economical losses caused by unexpected stops in production lines. The majority of real systems are hybrid dynamic systems (HDS). In HDS, the dynamical behaviors evolve continuously with time according to the discrete mode (configuration) in which the system is. Consequently, fault diagnosis approaches must take into account both discrete and continuous dynamics as well as the interactions between them in order to perform correct fault diagnosis. This book presents recent and advanced approaches and techniques that address the complex problem of fault diagnosis of hybrid dynamic and complex systems using different model-based and data-driven approaches in different application domains (inductor motors, chemical process formed by tanks, reactors and valves, ignition engine, sewer networks, mobile robots, planetary rover prototype etc.). These approaches cover the different aspects of performing single/multiple online/offline parametric/discrete abrupt/tear and wear fault diagnosis in incremental/non-incremental manner, using different modeling tools (hybrid automata, hybrid Petri nets, hybrid bond graphs, extended Kalman filter etc.) for different classes of hybrid dynamic and complex systems.

Fault Detection And Diagnosis In Industrial Systems Book PDF
✏Book Title : Fault Detection and Diagnosis in Industrial Systems
✏Author : L.H. Chiang
✏Publisher : Springer Science & Business Media
✏Release Date : 2012-12-06
✏Pages : 279
✏ISBN : 9781447103479
✏Available Language : English, Spanish, And French

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✏Fault Detection and Diagnosis in Industrial Systems Book Summary : Early and accurate fault detection and diagnosis for modern chemical plants can minimize downtime, increase the safety of plant operations, and reduce manufacturing costs. This book presents the theoretical background and practical techniques for data-driven process monitoring. It demonstrates the application of all the data-driven process monitoring techniques to the Tennessee Eastman plant simulator, and looks at the strengths and weaknesses of each approach in detail. A plant simulator and problems allow readers to apply process monitoring techniques.

Advances In Neural Networks Isnn 2006 Book PDF
✏Book Title : Advances in Neural Networks ISNN 2006
✏Author :
✏Publisher : Springer Science & Business Media
✏Release Date : 2006
✏Pages : 4288
✏ISBN : 9783540344827
✏Available Language : English, Spanish, And French

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✏Advances in Neural Networks ISNN 2006 Book Summary :

Predictive Maintenance In Dynamic Systems Book PDF
✏Book Title : Predictive Maintenance in Dynamic Systems
✏Author : Edwin Lughofer
✏Publisher : Springer
✏Release Date : 2019-02-28
✏Pages : 567
✏ISBN : 9783030056452
✏Available Language : English, Spanish, And French

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✏Predictive Maintenance in Dynamic Systems Book Summary : This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques. It shows recent applications of these techniques within various types of industrial (production/utilities/equipment/plants/smart devices, etc.) systems addressing several challenges in Industry 4.0 and different tasks dealing with Big Data Streams, Internet of Things, specific infrastructures and tools, high system dynamics and non-stationary environments . Applications discussed include production and manufacturing systems, renewable energy production and management, maritime systems, power plants and turbines, conditioning systems, compressor valves, induction motors, flight simulators, railway infrastructures, mobile robots, cyber security and Internet of Things. The contributors go beyond state of the art by placing a specific focus on dynamic systems, where it is of utmost importance to update system and maintenance models on the fly to maintain their predictive power.

📒Fault Diagnosis Systems ✍ Rolf Isermann

Fault Diagnosis Systems Book PDF
✏Book Title : Fault Diagnosis Systems
✏Author : Rolf Isermann
✏Publisher : Springer Science & Business Media
✏Release Date : 2006-01-16
✏Pages : 475
✏ISBN : 3540303685
✏Available Language : English, Spanish, And French

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✏Fault Diagnosis Systems Book Summary : With increasing demands for efficiency and product quality plus progress in the integration of automatic control systems in high-cost mechatronic and safety-critical processes, the field of supervision (or monitoring), fault detection and fault diagnosis plays an important role. The book gives an introduction into advanced methods of fault detection and diagnosis (FDD). After definitions of important terms, it considers the reliability, availability, safety and systems integrity of technical processes. Then fault-detection methods for single signals without models such as limit and trend checking and with harmonic and stochastic models, such as Fourier analysis, correlation and wavelets are treated. This is followed by fault detection with process models using the relationships between signals such as parameter estimation, parity equations, observers and principal component analysis. The treated fault-diagnosis methods include classification methods from Bayes classification to neural networks with decision trees and inference methods from approximate reasoning with fuzzy logic to hybrid fuzzy-neuro systems. Several practical examples for fault detection and diagnosis of DC motor drives, a centrifugal pump, automotive suspension and tire demonstrate applications.

Data Driven Methods For Updating Fault Detection And Diagnosis System In Chemical Processes Book PDF
✏Book Title : Data Driven Methods for Updating Fault Detection and Diagnosis System in Chemical Processes
✏Author : Mohammad Hamed Ardakani
✏Publisher :
✏Release Date : 2018
✏Pages : 178
✏ISBN : OCLC:1120436275
✏Available Language : English, Spanish, And French

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✏Data Driven Methods for Updating Fault Detection and Diagnosis System in Chemical Processes Book Summary : Modern industrial processes are becoming more complex, and consequently monitoring them has become a challenging task. Fault Detection and Diagnosis (F01) as a key element of process monitoring, needs to be investigated because of its essential role in decision making processes. Among available F01 methods, data driven approaches are currently receiving increasing attention because of their relative simplicity in implementation. Regardless of F01 types, one of the main traits of reliable F01 systems is their ability of being updated while new conditions that were not considered at their initial training appear in the process. These new conditions would emerge either gradually or abruptly, but they have the same level of importance as in both cases they lead to F01 poor performance. For addressing updating tasks, some methods have been proposed, but mainly not in research area of chemical engineering. They could be categorized to those that are dedicated to managing Concept Drift (CD) (that appear gradually), and those that deal with novel classes (that appear abruptly). The available methods, mainly, in addition to the lack of clear strategies for updating, suffer from performance weaknesses and inefficient required time of training, as reported. Accordingly, this thesis is mainly dedicated to data driven F01 updating in chemical processes. The proposed schemes for handling novel classes of faults are based on unsupervised methods, while for coping with CD both supervised and unsupervised updating frameworks have been investigated. Furthermore, for enhancing the functionality of F01 systems, some major methods of data processing, including imputation of missing values, feature selection, and feature extension have been investigated. The suggested algorithms and frameworks for F01 updating have been evaluated through different benchmarks and scenarios. As a part of the results, the suggested algorithms for supervised handling CD surpass the performance of the traditional incremental learning in regard to MGM score (defined dimensionless score based on weighted F1 score and training time) even up to 50% improvement. This improvement is achieved by proposed algorithms that detect and forget redundant information as well as properly adjusting the data window for timely updating and retraining the fault detection system. Moreover, the proposed unsupervised F01 updating framework for dealing with novel faults in static and dynamic process conditions achieves up to 90% in terms of the NPP score (defined dimensionless score based on number of the correct predicted class of samples). This result relies on an innovative framework that is able to assign samples either to new classes or to available classes by exploiting one class classification techniques and clustering approaches.

Machinery Prognostics And Prognosis Oriented Maintenance Management Book PDF
✏Book Title : Machinery Prognostics and Prognosis Oriented Maintenance Management
✏Author : Jihong Yan
✏Publisher : John Wiley & Sons
✏Release Date : 2014-11-10
✏Pages : 375
✏ISBN : 9781118638767
✏Available Language : English, Spanish, And French

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✏Machinery Prognostics and Prognosis Oriented Maintenance Management Book Summary : This book gives a complete presentatin of the basic essentials of machinery prognostics and prognosis oriented maintenance management, and takes a look at the cutting-edge discipline of intelligent failure prognosis technologies for condition-based maintenance. Presents an introduction to advanced maintenance systems, and discusses the key technologies for advanced maintenance by providing readers with up-to-date technologies Offers practical case studies on performance evaluation and fault diagnosis technology, fault prognosis and remaining useful life prediction and maintenance scheduling, enhancing the understanding of these technologies Pulls togeter recent developments and varying methods into one volume, complemented by practical examples to provide a complete reference

16th European Symposium On Computer Aided Process Engineering And 9th International Symposium On Process Systems Engineering Book PDF
✏Book Title : 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering
✏Author : W. Marquardt
✏Publisher : Elsevier
✏Release Date : 2006
✏Pages : 2254
✏ISBN : 9780444529701
✏Available Language : English, Spanish, And French

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✏16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering Book Summary : This proceedings book brings together the leading innovations and achievements by leading professionals. It acts as a forum for engineers, scientists, researchers, managers and students from academia and industry to present and discuss progress being made in research and application of computer-aided process engineering.

Identification And Fault Diagnosis Of Industrial Closed Loop Discrete Event Systems Book PDF
✏Book Title : Identification and Fault Diagnosis of Industrial Closed loop Discrete Event Systems
✏Author : Matthias Roth
✏Publisher : Logos Verlag Berlin GmbH
✏Release Date : 2010
✏Pages : 185
✏ISBN : 9783832527099
✏Available Language : English, Spanish, And French

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✏Identification and Fault Diagnosis of Industrial Closed loop Discrete Event Systems Book Summary : Die Wettbewerbsfahigkeit von Industrieunternehmen hangt massgeblich von der Produktivitat der eingesetzten Anlagen und Produktionsprozesse ab. Um ein hohes Mass an Produktivitat zu garantieren, mussen durch Fehler verursachte Standzeiten so kurz wir moglich gehalten werden. Dazu werden effiziente Methoden zur Fehlerdiagnose benotigt. In der vorliegenden Arbeit wurde ein modellbasiertes Diagnose-Verfahren fur ereignisdiskrete Closed-Loop Systeme entwickelt. Die betrachteten Systeme bestehen aus dem geschlossenen Kreis von Steuerung und Prozess. Durch den systematischen Vergleich von aktuell beobachtetem und durch ein Systemmodell erwartetem Verhalten konnen Fehler in Echtzeit erkannt und isoliert werden. In der Arbeit wurden geeignete Modellidentifikationsverfahren fur Ereignisdiskrete Systeme entwickelt, sodass die aufwandige manuelle Modellbildung vermieden wird. Die entwickelten Methoden wurden im Labor und im Rahmen einer Industrieanwendung erfolgreich getestet.

Fault Diagnosis Of Locomotive Electro Pneumatic Brake Through Uncertain Bond Graph Modeling And Robust Online Monitoring Book PDF
✏Book Title : Fault Diagnosis of Locomotive Electro pneumatic Brake Through Uncertain Bond Graph Modeling and Robust Online Monitoring
✏Author :
✏Publisher :
✏Release Date : 2015
✏Pages :
✏ISBN : OCLC:1051931149
✏Available Language : English, Spanish, And French

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✏Fault Diagnosis of Locomotive Electro pneumatic Brake Through Uncertain Bond Graph Modeling and Robust Online Monitoring Book Summary : Abstract: To improve reliability, safety and efficiency, advanced methods of fault detection and diagnosis become increasingly important for many technical fields, especially for safety related complex systems like aircraft, trains, automobiles, power plants and chemical plants. This paper presents a robust fault detection and diagnostic scheme for a multi-energy domain system that integrates a model-based strategy for system fault modeling and a data-driven approach for online anomaly monitoring. The developed scheme uses LFT (linear fractional transformations)-based bond graph for physical parameter uncertainty modeling and fault simulation, and employs AAKR (auto-associative kernel regression)-based empirical estimation followed by SPRT (sequential probability ratio test)-based threshold monitoring to improve the accuracy of fault detection. Moreover, pre- and post-denoising processes are applied to eliminate the cumulative influence of parameter uncertainty and measurement uncertainty. The scheme is demonstrated on the main unit of a locomotive electro-pneumatic brake in a simulated experiment. The results show robust fault detection and diagnostic performance. Highlights: Integration of data-driven online monitoring and model-based fault diagnosis. Linear fractional transformations bond graph modeling for parameter uncertainties. Auto-associative kernel regression residual estimation for measurement uncertainties. A simulation experiment validation on a pneumatic equalizer control device. The developed scheme of online anomaly detection and diagnosis is robust.

Data Driven Self Improving Fault Detection And Diagnosis Methodologies In Complex Manufacturing Process Book PDF
✏Book Title : Data Driven Self improving Fault Detection and Diagnosis Methodologies in Complex Manufacturing Process
✏Author : Nong Jin
✏Publisher :
✏Release Date : 2006
✏Pages : 167
✏ISBN : WISC:89095252813
✏Available Language : English, Spanish, And French

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✏Data Driven Self improving Fault Detection and Diagnosis Methodologies in Complex Manufacturing Process Book Summary :

Intelligent Information And Database Systems Book PDF
✏Book Title : Intelligent Information and Database Systems
✏Author : Jeng-Shyang Pan
✏Publisher : Springer Science & Business Media
✏Release Date : 2012-03-02
✏Pages : 503
✏ISBN : 9783642284861
✏Available Language : English, Spanish, And French

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✏Intelligent Information and Database Systems Book Summary : The three-volume set LNAI 7196, LNAI 7197 and LNAI 7198 constitutes the refereed proceedings of the 4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012, held in Kaohsiung, Taiwan in March 2012. The 161 revised papers presented were carefully reviewed and selected from more than 472 submissions. The papers included cover the following topics: intelligent database systems, data warehouses and data mining, natural language processing and computational linguistics, semantic Web, social networks and recommendation systems, collaborative systems and applications, e-bussiness and e-commerce systems, e-learning systems, information modeling and requirements engineering, information retrieval systems, intelligent agents and multi-agent systems, intelligent information systems, intelligent internet systems, intelligent optimization techniques, object-relational DBMS, ontologies and knowledge sharing, semi-structured and XML database systems, unified modeling language and unified processes, Web services and semantic Web, computer networks and communication systems.

📒Annual Meeting Of The North American Fuzzy Information Processing Society Nafips ✍ North American Fuzzy Information Processing Society. Annual Meeting

Annual Meeting Of The North American Fuzzy Information Processing Society Nafips  Book PDF
✏Book Title : Annual Meeting of the North American Fuzzy Information Processing Society NAFIPS
✏Author : North American Fuzzy Information Processing Society. Annual Meeting
✏Publisher :
✏Release Date : 2003
✏Pages :
✏ISBN : UOM:39015047936557
✏Available Language : English, Spanish, And French

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✏Annual Meeting of the North American Fuzzy Information Processing Society NAFIPS Book Summary :

Structural Health Monitoring 2013 A Roadmap To Intelligent Structures Book PDF
✏Book Title : Structural Health Monitoring 2013 A Roadmap to Intelligent Structures
✏Author : Fu-Kuo Chang
✏Publisher : DEStech Publications, Inc
✏Release Date : 2013-09-26
✏Pages : 2810
✏ISBN : 9781605951157
✏Available Language : English, Spanish, And French

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✏Structural Health Monitoring 2013 A Roadmap to Intelligent Structures Book Summary : Original research on SHM sensors, quantification strategies, system integration and control for a wide range of engineered materials New applications in robotics, machinery, as well as military aircraft, railroads, highways, bridges, pipelines, stadiums, tunnels, space exploration and energy production Continuing a critical book series on structural health monitoring (SHM), this two-volume set (with full-text searchable CD-ROM) offers, as its subtitle implies, a guide to greater integration and control of SHM systems. Specifically, the volumes contain new research that will enable readers to more efficiently link sensor detection, diagnostics/quantification, overall system functionality, and automated, e.g., robotic, control, thus further closing the loop from inherent signal-based damage detection to responsive real-time maintenance and repair. SHM performance is demonstrated in monitoring the behavior of composites, metals, concrete, polymers and selected nanomaterials in a wide array of surroundings, including harsh environments, under extreme (e.g., seismic) loading and in space. New information on smart sensors and network optimization is enhanced by novel statistical and model-based methods for signal processing and data quantification. A special feature of the book is its explanation of emerging control technologies. Research in these volumes was initially presented in September 2013 at the 9th International Workshop on Structural Health Monitoring (IWSHM), held at Stanford University and sponsored by the Air Force Office of Scientific Research, the Army Research Laboratory, and the Office of Naval Research.

On Line Fault Detection And Supervision In The Chemical Process Industries 2001 Book PDF
✏Book Title : On line Fault Detection and Supervision in the Chemical Process Industries 2001
✏Author : G. Stephanopoulos
✏Publisher : Elsevier Science Limited
✏Release Date : 2001
✏Pages : 376
✏ISBN : UOM:39015055580131
✏Available Language : English, Spanish, And French

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✏On line Fault Detection and Supervision in the Chemical Process Industries 2001 Book Summary : This proceedings contains papers from the IFAC Symposium on On-line Fault Detection and Supervision in the Chemical Process Industries (CHEMFAS-4), held in Jejudo Island, Korea, 7-8 June 2001. The proceedings includes theoretical contributions, as well as a wide range of industrial applications in process fault diagnosis, monitoring, and advanced supervision. The papers are organized around the following themes: fault detection and diagnosis, statistical and trend analysis, methodologies, sensor location and data reconciliation and applications. The driving forces for on-line fault detection and improved supervision of process operation include human safety, environmental safeguards, and equipment protection, as well as economic considerations such as the improvement of product quality, increased production, and so on. These diverse incentives, together with the development and evaluation of novel methodologies for on-line process supervision and management, form the focus of the symposium and of the papers in this Proceedings. Altogether over 60 papers are presented, covering strategies including model-based and data-driven approaches, as well as knowledge-based systems, statistical techniques, and AI-based pattern recognition techniques. All the work presented is at the cutting edge of research in this dynamic field.

Information Control Problems In Manufacturing 2004 2 Volume Set  Book PDF
✏Book Title : Information Control Problems in Manufacturing 2004 2 volume Set
✏Author : Peter Kopacek
✏Publisher : Gulf Professional Publishing
✏Release Date : 2005-08-26
✏Pages : 900
✏ISBN : 0080442498
✏Available Language : English, Spanish, And French

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✏Information Control Problems in Manufacturing 2004 2 volume Set Book Summary :

11th International Symposium On Process Systems Engineering Pse2012 Book PDF
✏Book Title : 11th International Symposium on Process Systems Engineering PSE2012
✏Author :
✏Publisher : Elsevier
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✏ISBN : 9780444595058
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✏11th International Symposium on Process Systems Engineering PSE2012 Book Summary :

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✏Book Title : IJPHM Special Issue on Wind Turbine PHM Color
✏Author : PHM Society
✏Publisher : Lulu.com
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✏Pages :
✏ISBN : 9781936263097
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✏Book Title : International Journal of Prognostics and Health Management Volume 2 B W
✏Author : PHM Society
✏Publisher : Lulu.com
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✏ISBN : 9781936263141
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✏International Journal of Prognostics and Health Management Volume 2 B W Book Summary :