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Reports (Research Report) Year : 1997

On-Board Component Fault Detection and Isolation Using the Statistical Local Approach

Michèle Basseville

Abstract

We describe both the key principles and real application examples of a unified theory which allows us to perform the on-board incipient fault detection and isolation tasks involved in monitoring for condition-based maintenance. We stress that, when designing detection algorithms, the main conceptual task is to select a convenient estimating function. ML, LS, IV and subspace identification methods are addressed in this perspective.
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Dates and versions

inria-00073437 , version 1 (24-05-2006)

Identifiers

  • HAL Id : inria-00073437 , version 1

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Michèle Basseville. On-Board Component Fault Detection and Isolation Using the Statistical Local Approach. [Research Report] RR-3252, INRIA. 1997. ⟨inria-00073437⟩
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