Optimal Threshold Functions for Fault Detection and Isolation

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

20 Citations (Scopus)

Abstract

Fault diagnosis systems usually comprises two parts: a filtering part and a decision part, the latter typically based on threshold functions. In this paper, systematic ways to choose the threshold values are proposed. Two different test functions for the filtered signals are discussed and a method is described for determining the optimal threshold value for these test functions in order to detect presence or absence of a certain fault in the filtered signal. Optimal is in this context taken to mean minimizing the larger of the probalilities for making a false positive decision and for making a false negative decision, which is equivalent to balancing these two probabilities.
Original languageDanish
Title of host publicationACC03, Denver, Colorado, USA
Publication date2003
Pages1782-1787
Publication statusPublished - 2003
EventOptimal Threshold Functions for Fault Detection and Isolation -
Duration: 19 May 2010 → …

Conference

ConferenceOptimal Threshold Functions for Fault Detection and Isolation
Period19/05/2010 → …

Cite this

Stoustrup, J., Niemann, H., & Harbo, A. L-C. (2003). Optimal Threshold Functions for Fault Detection and Isolation. In ACC03, Denver, Colorado, USA (pp. 1782-1787)
Stoustrup, Jakob ; Niemann, H. ; Harbo, Anders La-Cour. / Optimal Threshold Functions for Fault Detection and Isolation. ACC03, Denver, Colorado, USA. 2003. pp. 1782-1787
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Stoustrup, J, Niemann, H & Harbo, AL-C 2003, Optimal Threshold Functions for Fault Detection and Isolation. in ACC03, Denver, Colorado, USA. pp. 1782-1787, Optimal Threshold Functions for Fault Detection and Isolation, 19/05/2010.

Optimal Threshold Functions for Fault Detection and Isolation. / Stoustrup, Jakob; Niemann, H.; Harbo, Anders La-Cour.

ACC03, Denver, Colorado, USA. 2003. p. 1782-1787.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AU - Niemann, H.

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AB - Fault diagnosis systems usually comprises two parts: a filtering part and a decision part, the latter typically based on threshold functions. In this paper, systematic ways to choose the threshold values are proposed. Two different test functions for the filtered signals are discussed and a method is described for determining the optimal threshold value for these test functions in order to detect presence or absence of a certain fault in the filtered signal. Optimal is in this context taken to mean minimizing the larger of the probalilities for making a false positive decision and for making a false negative decision, which is equivalent to balancing these two probabilities.

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Stoustrup J, Niemann H, Harbo AL-C. Optimal Threshold Functions for Fault Detection and Isolation. In ACC03, Denver, Colorado, USA. 2003. p. 1782-1787