Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems Hardback
by Rui Yang, Maiying Zhong
Part of the Advances in Intelligent Decision-Making, Systems Engineering, and Project Management series
Hardback
Description
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.
Information
-
Out of stock
- Format:Hardback
- Pages:80 pages, 35 Tables, black and white; 12 Line drawings, black and white; 3 Halftones, black and whit
- Publisher:Taylor & Francis Ltd
- Publication Date:17/06/2022
- Category:
- ISBN:9781032147253
Other Formats
- PDF from £44.99
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Information
-
Out of stock
- Format:Hardback
- Pages:80 pages, 35 Tables, black and white; 12 Line drawings, black and white; 3 Halftones, black and whit
- Publisher:Taylor & Francis Ltd
- Publication Date:17/06/2022
- Category:
- ISBN:9781032147253
