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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
- Idioma
- Publicado en
- 2023
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- Subtítulo
- Methods for State-Space Systems
- Idioma
- Inglés
- Autores
- Zhenhua Wang, Yi Shen
- Editorial
- Springer Nature Singapore
- Publicado en
- 2023
- Formato
- Tapa blanda
- Páginas
- 216
- ISBN13
- 9789811967085
- Serie
- Etiquetas
- No ficción, Ciencia y Matemáticas, Matemáticas
- Descripción
- 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.