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Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems / by Weihua Li, Xiaoli Zhang, Ruqiang Yan.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2023 Available online
View online- Format:
- Book
- Author/Creator:
- Li, Weihua.
- Series:
- Intelligent Technologies and Robotics Series
- Language:
- English
- Subjects (All):
- Automatic control.
- Robotics.
- Automation.
- Computational intelligence.
- Industrial engineering.
- Production engineering.
- Artificial intelligence.
- Control, Robotics, Automation.
- Computational Intelligence.
- Industrial and Production Engineering.
- Artificial Intelligence.
- Local Subjects:
- Control, Robotics, Automation.
- Computational Intelligence.
- Industrial and Production Engineering.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (474 pages)
- Edition:
- 1st ed. 2023.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
- Summary:
- 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.
- Contents:
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9789819935376
- 9819935377
- OCLC:
- 1398228555
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