The book "Fault Detection and Diagnosis in Engineering Systems" by Janos J. Gertler is a comprehensive resource on the detection and diagnosis of faults in various engineering systems, including industrial facilities, transportation vehicles, and household appliances. The author emphasizes the importance of early fault detection to prevent product deterioration, performance degradation, and potential safety hazards. The book covers traditional methods such as limit checking and redundant sensors, as well as advanced techniques like spectral analysis and model-based approaches. The focus is on model-based methods, particularly dynamic consistency (parity) relations and parameter estimation. These methods are designed to be conceptually and computationally straightforward, making them accessible to practicing engineers. The book includes detailed theoretical background, practical examples, and numerical illustrations to explain various concepts and methods. It is suitable for graduate courses and self-study, covering topics from linear systems, probability, and statistics to advanced fault detection and diagnosis techniques. The author also provides historical context and references to key researchers in the field, highlighting the contributions of various scholars and researchers.The book "Fault Detection and Diagnosis in Engineering Systems" by Janos J. Gertler is a comprehensive resource on the detection and diagnosis of faults in various engineering systems, including industrial facilities, transportation vehicles, and household appliances. The author emphasizes the importance of early fault detection to prevent product deterioration, performance degradation, and potential safety hazards. The book covers traditional methods such as limit checking and redundant sensors, as well as advanced techniques like spectral analysis and model-based approaches. The focus is on model-based methods, particularly dynamic consistency (parity) relations and parameter estimation. These methods are designed to be conceptually and computationally straightforward, making them accessible to practicing engineers. The book includes detailed theoretical background, practical examples, and numerical illustrations to explain various concepts and methods. It is suitable for graduate courses and self-study, covering topics from linear systems, probability, and statistics to advanced fault detection and diagnosis techniques. The author also provides historical context and references to key researchers in the field, highlighting the contributions of various scholars and researchers.