Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems

Name: Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems
Brand: CRC Press

CRC Press

Machine Learning-Based Fault Diagnosis for Industrial Engineering SystemsAuthor(s): Rui Yang, Maiying Zhong\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9781032147253, 978-1032147253\nSynopsis\nThis 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.\n\nMachine 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 i.