Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems
Author | : Weihua Li |
Publisher | : Springer Nature |
Total Pages | : 474 |
Release | : 2023-09-10 |
ISBN-10 | : 9789819935376 |
ISBN-13 | : 9819935377 |
Rating | : 4/5 (377 Downloads) |
Download or read book Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems written by Weihua Li and published by Springer Nature. This book was released on 2023-09-10 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on AI and machine learning, this book systematically presents the theories and methods for complex electro-mechanical system fault prognosis, intelligent diagnosis, and health state assessment in modern industry. The book emphasizes feature extraction, incipient fault prediction, fault classification, and degradation assessment, which are based on supervised-, semi-supervised-, manifold-, and deep learning; machinery degradation state tracking and prognosis by phase space reconstruction; and complex electro-mechanical system reliability assessment and health maintenance based on running state info. These theories and methods are integrated with practical industrial applications, which can help the readers get into the field more smoothly and provide an important reference for their study, research, and engineering practice.