Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems

Rui Yang author Maiying Zhong author

Format:Paperback

Publisher:Taylor & Francis Ltd

Publishing:8th Oct '24

£45.99

This title is due to be published on 8th October, and will be despatched as soon as possible.

This paperback is available in another edition too:

Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems cover

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.

ISBN: 9781032147260

Dimensions: unknown

Weight: 170g

80 pages