Machine Learning Based Fault Diagnosis for Industrial Engineering Systems

This book PDF is perfect for those who love Technology & Engineering genre, written by Rui Yang and published by CRC Press which was released on 16 June 2022 with total hardcover pages 87. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Machine Learning Based Fault Diagnosis for Industrial Engineering Systems books below.

Machine Learning Based Fault Diagnosis for Industrial Engineering Systems
Machine Learning Based Fault Diagnosis for Industrial Engineering Systems
Author : Rui Yang
File Size : 42,5 Mb
Publisher : CRC Press
Language : English
Release Date : 16 June 2022
ISBN : 9781000594935
Pages : 87 pages
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Machine Learning Based Fault Diagnosis for Industrial Engineering Systems by Rui Yang Book PDF 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.

Machine Learning Based Fault Diagnosis for Industrial Engineering Systems

Machine Learning Based Fault Diagnosis for Industrial Engineering Systems by Rui Yang,Maiying Zhong

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

Get Book
Machine Learning Based Fault Diagnosis for Industrial Engineering Systems

Machine Learning Based Fault Diagnosis for Industrial Engineering Systems by Rui Yang,Maiying Zhong

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

Get Book
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This comprehensive work presents the status and likely development of fault diagnosis, an emerging discipline of modern control engineering. It covers fundamentals of model-based fault diagnosis in a wide context, providing a good introduction to the theoretical foundation and many basic approaches of fault detection.

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Filter Based Fault Diagnosis and Remaining Useful Life Prediction by Yong Zhang,Zidong Wang,Ye Yuan

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Diagnostic Techniques in Industrial Engineering by Mangey Ram,J. Paulo Davim

This book presents the most important tools, techniques, strategy and diagnostic methods used in industrial engineering. The current widely accepted methods of diagnosis and their properties are discussed. Also, the possible fruitful areas for further research in the field are identified.

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