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Fault Identification Schemes

  • Steven X. Ding
Part of the Advances in Industrial Control book series (AIC)

Abstract

Fault identification (also called fault estimation) is often integrated into a fault-tolerant system and thus receiving considerable attention in the integrated design of control and fault diagnosis. The first part of this chapter is dedicated to the study on a perfect or optimal fault recovery (estimation/identification) without any assumption on faults to be estimated. The result with the existence conditions for a perfect fault identification reveals the difficulty with a successful fault identification. Also, an \(\mathcal{H}_{\infty}\) optimal design of a fault identification filter (FIF) can only be achieved on some hard conditions. For this reason, alternative fault identification schemes are proposed. They are: identification of the size of the fault (instead of the fault itself), fault estimation in a finite frequency interval, fault estimation in the PA framework, fault identification using an augmented observer, and the adaptive observer-based fault identification.

Keywords

Existence Condition Fault Identification Sensor Fault Fault Estimation 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.

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  • Steven X. Ding
    • 1
  1. 1.Inst. Automatisierungstechnik und Komplexe Systeme (AKS)Universität Duisburg-EssenDuisburgGermany

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