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Focusing on model-based fault diagnosis methods, this book covers techniques such as observer-based residual generation, threshold evaluation, and Kalman filter approaches. It appeals to a diverse audience, including engineering students and researchers, by establishing a comprehensive framework and emphasizing the state-space approach. The methods presented are systematic and accessible, making it a valuable resource for those interested in fault diagnosis, fault-tolerant control, and the design of safety-critical systems across various engineering disciplines.
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Model-Based Fault Diagnosis, Zhenhua Wang, Yi Shen
- Language
- Released
- 2022
- Binding
- (Hardcover)
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- Title
- Model-Based Fault Diagnosis
- Subtitle
- Methods for State-Space Systems
- Language
- English
- Authors
- Zhenhua Wang, Yi Shen
- Publisher
- Springer Nature Singapore
- Released
- 2022
- Format
- Hardcover
- Pages
- 216
- ISBN13
- 9789811967054
- Series
- Description
- Focusing on model-based fault diagnosis methods, this book covers techniques such as observer-based residual generation, threshold evaluation, and Kalman filter approaches. It appeals to a diverse audience, including engineering students and researchers, by establishing a comprehensive framework and emphasizing the state-space approach. The methods presented are systematic and accessible, making it a valuable resource for those interested in fault diagnosis, fault-tolerant control, and the design of safety-critical systems across various engineering disciplines.