Fault Detection and Diagnosis in Engineering Systems

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Fault Detection and Diagnosis in Engineering Systems

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by: Janos Gertler


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Topics include: multiplicative faults, additive faults, soft zeroes, column canonical, parametric faults, transformed subsystem, noise induced part, triggering limits, plausibility regions, residual generator design, parity relation residuals, structured residuals, disturbance decoupling, residual generators, sliding integral, fault sensitivity, faults and disturbances, homogeneous specifications, fault multiplicity, distance replacement, missed detection rates, actuator faults, primary residuals, discrete transfer function, model based fault detection


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Featuring a model-based approach to fault detection and diagnosis in engineering systems, this book contains up-to-date, practical information on preventing product deterioration, performance degradation and major machinery damage.


Table of Contents

Introduction to fault detection and diagnosis

discrete linear systems

random variables

parameter estimation fundamentals

analytical redundancy concepts

parity equation implementation of residual generators

design for structured residuals

design for directional residuals

residual generation for parametric faults

robustness in residual generation

statistical testing of residuals

model identification for the diagnosis of additive faults

diagnosing multiplicative faults by parameter estimation


". . .This book is devoted to the model-based approach, focusing on dynamic consistency (parity) relations and parameter estimation. The work is partly based on the author's own research contributions and provides a unified treatment of the subject, revealing the equivalence of seemingly different approaches (parity relations vs parameter estimation). The book makes a significant contribution to the FDD literature. "
---The International Journal of Electrical Engineering Education


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