Performance analysis of LTV fault detection schemes with additive faults

Timothy J. Wheeler, Peter J Seiler Jr, Andrew K. Packard, Gary Balas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper considers the problem of certifying the performance of a class of model-based fault detection schemes. The underlying plant is assumed to be a linear time-varying (LTV) system subject to a Markov-switching fault input. The fault detection scheme consists of two parts: an LTV component that produces a scalar residual and a static nonlinear function that infers the presence of a fault based on this residual. Probabilistic performance metrics are presented and the complexity of computing these metrics is analyzed. It is shown that under a set of realistic assumptions, this complexity is reduced to polynomial time. An aerospace example, involving a pitot-static probe subject to random bias faults, is used to demonstrate the usefulness of this analysis.

Original languageEnglish (US)
Title of host publication2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Pages3038-3043
Number of pages6
DOIs
StatePublished - Dec 1 2011
Event2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 - Orlando, FL, United States
Duration: Dec 12 2011Dec 15 2011

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
CountryUnited States
CityOrlando, FL
Period12/12/1112/15/11

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