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Conference Papers Year : 2012

Statistical Fault Detection and Isolation for Linear Time-Varying Systems

Abstract

This paper describes a statistical approach to fault detection and isolation for linear time-varying (LTV) systems subject to parametric additive faults. The proposed approach combines a GLR test with a recursive filter that cancels out the dynamics of the monitored faults effects. To our knowledge, the proposed recursive filter is new for the considered faults with time-varying profiles. The resulting algorithm handles fault diagnosis with weaker assumptions than usual, in particular on the number of sensors and on the stability of the monitored system.

Dates and versions

hal-00776898 , version 1 (16-01-2013)

Identifiers

Cite

Qinghua Zhang, Michèle Basseville. Statistical Fault Detection and Isolation for Linear Time-Varying Systems. SYSID - 16th IFAC Symposium on System Identification, Jul 2012, Brussels, Belgium. pp.625-630, ⟨10.3182/20120711-3-BE-2027.00145⟩. ⟨hal-00776898⟩
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