Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery
  • Release Date : 02 November 2016
  • Publisher : Butterworth-Heinemann
  • Categories : Technology & Engineering
  • Pages : 376 pages
  • ISBN 13 : 9780128115350
  • ISBN 10 : 0128115351
Score: 4
From 245 Ratings
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Synopsis : Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery written by Yaguo Lei, published by Butterworth-Heinemann which was released on 02 November 2016. Download Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery Books now! Available in PDF, EPUB, Mobi Format. 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

Fault Diagnosis

Fault Diagnosis

Author : Józef Korbicz,Jan M. Koscielny,Zdzislaw Kowalczuk,Wojciech Cholewa
Publisher : Springer Science & Business Media
Category : Computers
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