Model-Based Fault Diagnosis

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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.