Fault Detection and Diagnosis

Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 383)

In this chapter, we start with the formal definition and formulation of the fault detection and diagnosis problem in nonlinear systems. Then, desired attributes of a fault diagnosis system and the rationale behind each attribute are discussed. A comprehensive survey and analysis of the literature on model-based and computational intelligence (CI)-based approaches to fault diagnosis is then presented with individual emphasis on the tasks of detection, isolation and identification. A number of well-known methodologies within each approach are further demonstrated, and their respective advantages and disadvantages are highlighted. Finally, the issue of robustness in fault diagnosis is introduced and briefly discussed.


Fault Detection Fault Diagnosis Unscented Kalman Filter Actuator Fault Fault Isolation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.GobVision Inc., St. LaurentMontréalCanada
  2. 2.Dept. Electrical & Computer EngineeringConcordia UniversityMontrealCanada

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