Model-Based Fault Diagnosis

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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.