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Model-based fault diagnosis methods are thoroughly explored, covering techniques such as observer-based residual generation, threshold evaluation, and Kalman filter applications. The book integrates insights from various engineering disciplines, establishing a comprehensive framework that highlights the significance of the state-space approach. Its systematic presentation makes it accessible for undergraduate and graduate students, researchers in fault diagnosis, and engineers focused on safety-critical systems, making it a valuable resource in the field.
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Model-Based Fault Diagnosis, Zhenhua Wang, Yi Shen
- Language
- Released
- 2023
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- (Paperback)
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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
- 2023
- Format
- Paperback
- Pages
- 216
- ISBN13
- 9789811967085
- Category
- Mathematics
- Description
- Model-based fault diagnosis methods are thoroughly explored, covering techniques such as observer-based residual generation, threshold evaluation, and Kalman filter applications. The book integrates insights from various engineering disciplines, establishing a comprehensive framework that highlights the significance of the state-space approach. Its systematic presentation makes it accessible for undergraduate and graduate students, researchers in fault diagnosis, and engineers focused on safety-critical systems, making it a valuable resource in the field.