Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery

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  • Author : Yaguo Lei
  • Publisher : Butterworth-Heinemann
  • Pages : 376 pages
  • ISBN : 0128115351
  • Rating : /5 from reviews
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Download or Read online Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery full in PDF, ePub and kindle. this book written by Yaguo Lei and published by Butterworth-Heinemann which was released on 02 November 2016 with total page 376 pages. We cannot guarantee that Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery 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. Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery provides a comprehensive introduction of intelligent fault diagnosis and RUL prediction based on the current achievements of the author's research group. The main contents include multi-domain signal processing and feature extraction, intelligent diagnosis models, clustering algorithms, hybrid intelligent diagnosis strategies, and RUL prediction approaches, etc. This book presents fundamental theories and advanced methods of identifying the occurrence, locations, and degrees of faults, and also includes information on how to predict the RUL of rotating machinery. Besides experimental demonstrations, many application cases are presented and illustrated to test the methods mentioned in the book. This valuable reference provides an essential guide on machinery fault diagnosis that helps readers understand basic concepts and fundamental theories. Academic researchers with mechanical engineering or computer science backgrounds, and engineers or practitioners who are in charge of machine safety, operation, and maintenance will find this book very useful. Provides a detailed background and roadmap of intelligent diagnosis and RUL prediction of rotating machinery, involving fault mechanisms, vibration characteristics, health indicators, and diagnosis and prognostics Presents basic theories, advanced methods, and the latest contributions in the field of intelligent fault diagnosis and RUL prediction Includes numerous application cases, and the methods, algorithms, and models introduced in the book are demonstrated by industrial experiences

Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery

Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery
  • Author : Yaguo Lei
  • Publisher : Butterworth-Heinemann
  • Release : 02 November 2016
GET THIS BOOK Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery

Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery provides a comprehensive introduction of intelligent fault diagnosis and RUL prediction based on the current achievements of the author's research group. The main contents include multi-domain signal processing and feature extraction, intelligent diagnosis models, clustering algorithms, hybrid intelligent diagnosis strategies, and RUL prediction approaches, etc. This book presents fundamental theories and advanced methods of identifying the occurrence, locations, and degrees of faults, and also includes information on how to

Intelligent Fault Diagnosis and Prognosis for Engineering Systems

Intelligent Fault Diagnosis and Prognosis for Engineering Systems
  • Author : George Vachtsevanos,Frank L. Lewis,Michael Roemer,Andrew Hess,Biqing Wu
  • Publisher : Wiley
  • Release : 29 September 2006
GET THIS BOOK Intelligent Fault Diagnosis and Prognosis for Engineering Systems

Expert guidance on theory and practice in condition-based intelligent machine fault diagnosis and failure prognosis Intelligent Fault Diagnosis and Prognosis for Engineering Systems gives a complete presentation of basic essentials of fault diagnosis and failure prognosis, and takes a look at the cutting-edge discipline of intelligent fault diagnosis and failure prognosis technologies for condition-based maintenance. It thoroughly details the interdisciplinary methods required to understand the physics of failure mechanisms in materials, structures, and rotating equipment, and also presents strategies to