TY  - BOOK
AU  - Li,Weihua
AU  - Zhang,Xiaoli
AU  - Yan,Ruqiang
ED  - SpringerLink (Online service)
TI  - Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems
SN  - 9789819935376
AV  - TJ212-225 
U1  - 629.8 23
PY  - 2023///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Control engineering
KW  - Robotics
KW  - Automation
KW  - Computational intelligence
KW  - Industrial engineering
KW  - Production engineering
KW  - Artificial intelligence
KW  - Control, Robotics, Automation
KW  - Computational Intelligence
KW  - Industrial and Production Engineering
KW  - Artificial Intelligence
N1  - Acceso multiusuario; Chapter 1 Introduction -- Chapter 2 Supervised SVM based intelligent fault diagnosis methods -- Chapter 3 Semi-supervised Learning Based Intelligent Fault Diagnosis Methods -- Chapter 4 Manifold learning based intelligent fault diagnosis and prognostics -- Chapter 5 Deep learning based machinery fault diagnosis -- Chapter 6 Phase space reconstruction based on machinery system degradation tracking and fault prognostics -- Chapter 7 Complex electro-mechanical system operational reliability assessment and health maintenance
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-99-3537-6
ER  -