Fault Detection and Diagnosis in Engineering Systems by Janos J. Gertler is a comprehensive book on the detection and isolation of faults in engineering systems. The book covers both model-free and model-based methods, with a focus on model-based approaches. It discusses various techniques for fault detection and diagnosis, including analytical redundancy, parity relations, and parameter estimation. The book is structured into chapters that cover the fundamentals of fault detection and diagnosis, including discrete linear systems, random variables, parameter estimation, analytical redundancy, residual generation, and statistical testing of residuals. It also addresses robustness in residual generation, the diagnosis of additive and multiplicative faults, and the design of structured and directional residuals. The book provides a detailed treatment of the subject, based on the author's research and extensive interaction with other workers in the field. It is suitable for use as a text in an intermediate-level graduate course on fault detection and diagnosis, and as a self-study and reference source for practicing engineers. The book is self-contained, with the necessary background material on linear systems, probability and statistics, and parameter estimation presented in the introductory chapters. The book is written for a broad audience, including students in electrical engineering, mechanical engineering, chemical engineering, and other specialized disciplines of engineering. The book is also useful for engineers working in areas such as control, aerospace, vehicular, marine, and nuclear engineering. The book provides a deep and unified treatment of the subject, with a focus on dynamic consistency (parity) relations and parameter estimation. The book is divided into chapters that cover the fundamentals of fault detection and diagnosis, including discrete linear systems, random variables, parameter estimation, analytical redundancy, residual generation, and statistical testing of residuals. It also addresses robustness in residual generation, the diagnosis of additive and multiplicative faults, and the design of structured and directional residuals. The book provides a detailed treatment of the subject, based on the author's research and extensive interaction with other workers in the field. The book is suitable for use as a text in an intermediate-level graduate course on fault detection and diagnosis, and as a self-study and reference source for practicing engineers. The book is self-contained, with the necessary background material on linear systems, probability and statistics, and parameter estimation presented in the introductory chapters. The book is written for a broad audience, including students in electrical engineering, mechanical engineering, chemical engineering, and other specialized disciplines of engineering. The book is also useful for engineers working in areas such as control, aerospace, vehicular, marine, and nuclear engineering.Fault Detection and Diagnosis in Engineering Systems by Janos J. Gertler is a comprehensive book on the detection and isolation of faults in engineering systems. The book covers both model-free and model-based methods, with a focus on model-based approaches. It discusses various techniques for fault detection and diagnosis, including analytical redundancy, parity relations, and parameter estimation. The book is structured into chapters that cover the fundamentals of fault detection and diagnosis, including discrete linear systems, random variables, parameter estimation, analytical redundancy, residual generation, and statistical testing of residuals. It also addresses robustness in residual generation, the diagnosis of additive and multiplicative faults, and the design of structured and directional residuals. The book provides a detailed treatment of the subject, based on the author's research and extensive interaction with other workers in the field. It is suitable for use as a text in an intermediate-level graduate course on fault detection and diagnosis, and as a self-study and reference source for practicing engineers. The book is self-contained, with the necessary background material on linear systems, probability and statistics, and parameter estimation presented in the introductory chapters. The book is written for a broad audience, including students in electrical engineering, mechanical engineering, chemical engineering, and other specialized disciplines of engineering. The book is also useful for engineers working in areas such as control, aerospace, vehicular, marine, and nuclear engineering. The book provides a deep and unified treatment of the subject, with a focus on dynamic consistency (parity) relations and parameter estimation. The book is divided into chapters that cover the fundamentals of fault detection and diagnosis, including discrete linear systems, random variables, parameter estimation, analytical redundancy, residual generation, and statistical testing of residuals. It also addresses robustness in residual generation, the diagnosis of additive and multiplicative faults, and the design of structured and directional residuals. The book provides a detailed treatment of the subject, based on the author's research and extensive interaction with other workers in the field. The book is suitable for use as a text in an intermediate-level graduate course on fault detection and diagnosis, and as a self-study and reference source for practicing engineers. The book is self-contained, with the necessary background material on linear systems, probability and statistics, and parameter estimation presented in the introductory chapters. The book is written for a broad audience, including students in electrical engineering, mechanical engineering, chemical engineering, and other specialized disciplines of engineering. The book is also useful for engineers working in areas such as control, aerospace, vehicular, marine, and nuclear engineering.