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Fault isolation for diagnosis: nuisance rejection and multiple hypotheses testing

Michèle Basseville 1 Igor Nikiforov 2
1 SIGMA2 - Signal, models, algorithms
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, INRIA Rennes
Abstract : Fault detection, fault isolation and fault diagnosis are addressed within a statistical framework. The corresponding inference problems are stated. Several statistical tools for solving these inference problems are described. Particular emphasis is put on dealing with nuisance parameters and deciding between multiple hypotheses. How to use these tools for solving problems is discussed. An example illustrates some of the proposed methods.
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Submitted on : Tuesday, May 23, 2006 - 7:54:55 PM
Last modification on : Friday, February 4, 2022 - 3:21:06 AM
Long-term archiving on: : Sunday, April 4, 2010 - 10:55:40 PM


  • HAL Id : inria-00072150, version 1


Michèle Basseville, Igor Nikiforov. Fault isolation for diagnosis: nuisance rejection and multiple hypotheses testing. [Research Report] RR-4438, INRIA. 2002. ⟨inria-00072150⟩



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