Correspondence item: An innovations approach to fault detection and diagnosis in dynamic systems

Authors:
R. K. Mehra;J. Peschon
Affiliations:
Systems Control, Inc., 260 Sheridan Avenue, Palo Alto, California USA;Systems Control, Inc., 260 Sheridan Avenue, Palo Alto, California USA
Venue:
Automatica (Journal of IFAC)
Year:
1971

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Signal Processing

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Abstract

A general approach to fault detection, diagnosis and prognosis in systems describable by mathematical models is outlined. It is based on System Theory and Statistical Decision Theory. The special case of linear dynamic systems with Gaussian random inputs is considered and it is shown how the statistical properties of the innovation process can be used for fault detection and diagnosis.