Machine learning-based fault diagnosis for industrial engineering systems /

"This book provides advanced techniques for precision compensation and fault diagnosis of precision motion systems and rotating machinery. Techniques and applications through experiments and case studies for intelligent precision compensation and fault diagnosis are offered along with the intro...

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Bibliographic Details
Main Authors: Yang, Rui (Professor of computer engineering) (Author), Zhong, Maiying (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton ; London : CRC Press, 2022.
Edition:First edition.
Series:Advances in intelligent decision-making.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:"This book provides advanced techniques for precision compensation and fault diagnosis of precision motion systems and rotating machinery. Techniques and applications through experiments and case studies for intelligent precision compensation and fault diagnosis are offered along with the introduction of machine learning and deep learning methods. Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems discusses how to formulate and solve precision compensation and fault diagnosis problems. The book includes experimental results on hardware equipment used as practical examples throughout the book. Machine learning and deep learning methods used in intelligent precision compensation and intelligent fault diagnosis are introduced. Applications to deal with relevant problems concerning CNC machining and rotating machinery in industrial engineering systems are provided in detail along with applications used in precision motion systems. Methods, applications, and concepts offered in this book can help all professional engineers and students across many areas of engineering and operations management that are involved in any part of Industry 4.0 transformation"--
Physical Description:1 online resource.
Bibliography:Includes bibliographical references and index.
ISBN:9781000594935
1000594939
9781003240754
1003240755