Reliability Modelling and Analysis in Discrete Time

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  • Author : Unnikrishnan Nair
  • Publisher : Academic Press
  • Pages : 508 pages
  • ISBN : 0128020067
  • Rating : /5 from reviews
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Download or Read online Reliability Modelling and Analysis in Discrete Time full in PDF, ePub and kindle. this book written by Unnikrishnan Nair and published by Academic Press which was released on 15 May 2018 with total page 508 pages. We cannot guarantee that Reliability Modelling and Analysis in Discrete Time book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Reliability Modelling and Analysis in Discrete Time provides an overview of the probabilistic and statistical aspects connected with discrete reliability systems. This engaging book discusses their distributional properties and dependence structures before exploring various orderings associated between different reliability structures. Though clear explanations, multiple examples, and exhaustive coverage of the basic and advanced topics of research in this area, the work gives the reader a thorough understanding of the theory and concepts associated with discrete models and reliability structures. A comprehensive bibliography assists readers who are interested in further research and understanding. Requiring only an introductory understanding of statistics, this book offers valuable insight and coverage for students and researchers in Probability and Statistics, Electrical Engineering, and Reliability/Quality Engineering. The book also includes a comprehensive bibliography to assist readers seeking to delve deeper. Includes a valuable introduction to Reliability Theory before covering advanced topics of research and real world applications Features an emphasis on the mathematical theory of reliability modeling Provides many illustrative examples to foster reader understanding

Reliability Modelling and Analysis in Discrete Time

Reliability Modelling and Analysis in Discrete Time
  • Author : Unnikrishnan Nair,P.G. Sankaran,N. Balakrishnan
  • Publisher : Academic Press
  • Release : 15 May 2018
GET THIS BOOK Reliability Modelling and Analysis in Discrete Time

Reliability Modelling and Analysis in Discrete Time provides an overview of the probabilistic and statistical aspects connected with discrete reliability systems. This engaging book discusses their distributional properties and dependence structures before exploring various orderings associated between different reliability structures. Though clear explanations, multiple examples, and exhaustive coverage of the basic and advanced topics of research in this area, the work gives the reader a thorough understanding of the theory and concepts associated with discrete models and reliability structures. A

Advances in Mathematical Modeling for Reliability

Advances in Mathematical Modeling for Reliability
  • Author : T. Bedford
  • Publisher : IOS Press
  • Release : 24 January 2022
GET THIS BOOK Advances in Mathematical Modeling for Reliability

Advances in Mathematical Modeling for Reliability discusses fundamental issues on mathematical modeling in reliability theory and its applications. Beginning with an extensive discussion of graphical modeling and Bayesian networks, the focus shifts towards repairable systems: a discussion about how sensitive availability calculations parameter choices, and emulators provide the potential to perform such calculations on complicated systems to a fair degree of accuracy and in a computationally efficient manner. Another issue that is addressed is how competing risks arise in reliability

Modeling and Analysis of Dependable Systems

Modeling and Analysis of Dependable Systems
  • Author : Luigi Portinale,Daniele Codetta Raiteri
  • Publisher : World Scientific
  • Release : 09 June 2015
GET THIS BOOK Modeling and Analysis of Dependable Systems

The monographic volume addresses, in a systematic and comprehensive way, the state-of-the-art dependability (reliability, availability, risk and safety, security) of systems, using the Artificial Intelligence framework of Probabilistic Graphical Models (PGM). After a survey about the main concepts and methodologies adopted in dependability analysis, the book discusses the main features of PGM formalisms (like Bayesian and Decision Networks) and the advantages, both in terms of modeling and analysis, with respect to classical formalisms and model languages. Methodologies for deriving PGMs

Bayesian Networks for Reliability Engineering

Bayesian Networks for Reliability Engineering
  • Author : Baoping Cai,Yonghong Liu,Zengkai Liu,Yuanjiang Chang,Lei Jiang
  • Publisher : Springer
  • Release : 28 February 2019
GET THIS BOOK Bayesian Networks for Reliability Engineering

This book presents a bibliographical review of the use of Bayesian networks in reliability over the last decade. Bayesian network (BN) is considered to be one of the most powerful models in probabilistic knowledge representation and inference, and it is increasingly used in the field of reliability. After focusing on the engineering systems, the book subsequently discusses twelve important issues in the BN-based reliability methodologies, such as BN structure modeling, BN parameter modeling, BN inference, validation, and verification. As such,

Reliability Safety and Hazard Assessment for Risk Based Technologies

Reliability  Safety and Hazard Assessment for Risk Based Technologies
  • Author : Prabhakar V. Varde,Raghu V. Prakash,Gopika Vinod
  • Publisher : Springer Nature
  • Release : 30 August 2019
GET THIS BOOK Reliability Safety and Hazard Assessment for Risk Based Technologies

This volume presents selected papers from the International Conference on Reliability, Safety, and Hazard. It presents the latest developments in reliability engineering and probabilistic safety assessment, and brings together contributions from a diverse international community and covers all aspects of safety, reliability, and hazard assessment across a host of interdisciplinary applications. This book will be of interest to researchers in both academia and the industry.

Reliability and Availability Engineering

Reliability and Availability Engineering
  • Author : Kishor S. Trivedi,Andrea Bobbio
  • Publisher : Cambridge University Press
  • Release : 03 August 2017
GET THIS BOOK Reliability and Availability Engineering

Do you need to know what technique to use to evaluate the reliability of an engineered system? This self-contained guide provides comprehensive coverage of all the analytical and modeling techniques currently in use, from classical non-state and state space approaches, to newer and more advanced methods such as binary decision diagrams, dynamic fault trees, Bayesian belief networks, stochastic Petri nets, non-homogeneous Markov chains, semi-Markov processes, and phase type expansions. Readers will quickly understand the relative pros and cons of each

Fault Detection Supervision and Safety of Technical Processes 2006

Fault Detection  Supervision and Safety of Technical Processes 2006
  • Author : Hong-Yue Zhang
  • Publisher : Elsevier
  • Release : 01 March 2007
GET THIS BOOK Fault Detection Supervision and Safety of Technical Processes 2006

The safe and reliable operation of technical systems is of great significance for the protection of human life and health, the environment, and of the vested economic value. The correct functioning of those systems has a profound impact also on production cost and product quality. The early detection of faults is critical in avoiding performance degradation and damage to the machinery or human life. Accurate diagnosis then helps to make the right decisions on emergency actions and repairs. Fault detection

Dependable Software Engineering Theories Tools and Applications

Dependable Software Engineering  Theories  Tools  and Applications
  • Author : Xuandong Li,Zhiming Liu,Wang Yi
  • Publisher : Springer
  • Release : 16 October 2015
GET THIS BOOK Dependable Software Engineering Theories Tools and Applications

This book constitutes the refereed proceedings of the First International Symposium on Dependable Software Engineering: Theories, Tools, and Applications, SETTA 2015, held in Nanjing, China, in November 2015. The 20 full papers presented together with 3 invited talks were carefully reviewed and selected from 60 submissions.The papers are organized on topical sections on probabilistic systems; hybrid and cyber-physical systems; testing, simulation and inference; bisimulation and correctness; design and implementation; symbolic execution and invariants; and verification and case studies.

Advanced Reliability Modeling

Advanced Reliability Modeling
  • Author : Tadashi Dohi,Won Young Yun
  • Publisher : World Scientific
  • Release : 24 January 2022
GET THIS BOOK Advanced Reliability Modeling

The 2004 Asian International Workshop on Advanced Reliability Modeling is a symposium for the dissemination of state-of-the-art research and the presentation of practice in reliability engineering and related issues in Asia. It brings together researchers, scientists and practitioners from Asian countries to discuss the state of research and practice in dealing with reliability issues at the system design (modeling) level, and to jointly formulate an agenda for future research in this engineering area. The proceedings cover all the key topics in

Software Fault Detection and Correction Modeling and Applications

Software Fault Detection and Correction  Modeling and Applications
  • Author : Rui Peng,Yan-Fu Li,Yu Liu
  • Publisher : Springer
  • Release : 01 November 2018
GET THIS BOOK Software Fault Detection and Correction Modeling and Applications

This book focuses on software fault detection and correction processes, presenting 5 different paired models introduced over the last decade and discussing their applications, in particular to determining software release time. The first work incorporates the testing effort function and the fault introduction process into the paired fault detection and fault correction models. The second work incorporates fault dependency, while the third adopts a Markov approach for studying fault detection and correction processes. The fourth work considers the multi-release property of

Advances in Computational Intelligence Systems

Advances in Computational Intelligence Systems
  • Author : Thomas Jansen,Richard Jensen,Neil Mac Parthaláin,Chih-Min Lin
  • Publisher : Springer Nature
  • Release : 17 November 2021
GET THIS BOOK Advances in Computational Intelligence Systems

This book contains the papers presented at the 20th UK Workshop on Computational Intelligence (UKCI 2021), held virtually by Aberystwyth University, 8–10th September 2021. This marks the 20th anniversary of UKCI; a testament to the increasing role and importance of Computational Intelligence (CI) and the continuing interest in its development. UKCI provides a forum for the academic community and industry to share ideas and experience in this field. EDMA 2021, the 4th International Engineering Data- and Model-Driven Applications workshop, is also incorporated and

Computer Performance Engineering

Computer Performance Engineering
  • Author : Jeremy T. Bradley
  • Publisher : Springer
  • Release : 06 July 2009
GET THIS BOOK Computer Performance Engineering

This volume constitutes the refereed proceedings of the 6th European Performance Engineering Workshop, EPEW 2009, held in London, UK during July 9-10, 2009. The 13 full papers and 4 short papers presented in this volume, together with the abstract of one invited paper, were carefully reviewed and selected from 33 submissions. The papers deal with modeling of auctions and markets, hardware modeling of RAID systems, performance aspects of cellular and fixed-line networks, mean value analysis, stochastic ordering to queuing networks, extension of passage-time analysis, stochastic

Dynamic Risk Analysis in the Chemical and Petroleum Industry

Dynamic Risk Analysis in the Chemical and Petroleum Industry
  • Author : Nicola Paltrinieri,Faisal Khan
  • Publisher : Butterworth-Heinemann
  • Release : 06 August 2016
GET THIS BOOK Dynamic Risk Analysis in the Chemical and Petroleum Industry

Dynamic Risk Analysis in the Chemical and Petroleum Industry focuses on bridging the gap between research and industry by responding to the following questions: What are the most relevant developments of risk analysis? How can these studies help industry in the prevention of major accidents? Paltrinieri and Khan provide support for professionals who plan to improve risk analysis by introducing innovative techniques and exploiting the potential of data share and process technologies. This concrete reference within an ever-growing variety of

Benefits of Bayesian Network Models

Benefits of Bayesian Network Models
  • Author : Philippe Weber,Christophe Simon
  • Publisher : John Wiley & Sons
  • Release : 23 August 2016
GET THIS BOOK Benefits of Bayesian Network Models

The application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in dependability and risk analysis is a recent development. A large number of scientific publications show the interest in the applications of BN in this field. Unfortunately, this modeling formalism is not fully accepted in the industry. The questions facing today's engineers are focused on the validity of BN models and the resulting estimates. Indeed, a BN model is not based on a specific semantic in dependability but offers