Refinement of the diagnosis process performed with a fuzzy classifier

C. D. Bocaniala; J. Sa Da Costa; V. Palade

doi:10.1007/978-3-540-30134-9_49

Refinement of the diagnosis process performed with a fuzzy classifier

C. D. Bocaniala, J. Sa Da Costa, V. Palade

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

Abstract

This paper presents a refinement of the diagnosis process performed with a fuzzy classifier. The proposed fuzzy classifier demonstrated high accuracy in recognizing faults. In our previous work, when using this classifier, one single category has been considered for each one of the faults under observation. However, 20 levels of fault strength have been considered for each fault, ranging from small and often unnoticeable effects up to large effects. The present work proposes three categories to be considered for each fault, corresponding to small, medium and respectively large faults. Better diagnosis results are obtained. Moreover, the proposed refinement offers a new insight and more information on the behavior of the faults, that improve the final outcome of the diagnosis process.

Original language	English
Title of host publication	Knowledge-Based Intelligent Information and Engineering Systems
Editors	Mircea Gh. Negoita, Robert J. Howlett, Lakhmi C. Jain
Place of Publication	Berlin
Publisher	Springer
Pages	373-379
Number of pages	7
Volume	3215
ISBN (Electronic)	978-3-540-30134-9
ISBN (Print)	978-3-540-23205-6
DOIs	https://doi.org/10.1007/978-3-540-30134-9_49
Publication status	Published - 2004
Externally published	Yes

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-540-30134-9_49

Cite this

Refinement of the diagnosis process performed with a fuzzy classifier. / Bocaniala, C. D.; Sa Da Costa, J.; Palade, V.
Knowledge-Based Intelligent Information and Engineering Systems. ed. / Mircea Gh. Negoita; Robert J. Howlett; Lakhmi C. Jain. Vol. 3215 Berlin: Springer, 2004. p. 373-379.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

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AB - This paper presents a refinement of the diagnosis process performed with a fuzzy classifier. The proposed fuzzy classifier demonstrated high accuracy in recognizing faults. In our previous work, when using this classifier, one single category has been considered for each one of the faults under observation. However, 20 levels of fault strength have been considered for each fault, ranging from small and often unnoticeable effects up to large effects. The present work proposes three categories to be considered for each fault, corresponding to small, medium and respectively large faults. Better diagnosis results are obtained. Moreover, the proposed refinement offers a new insight and more information on the behavior of the faults, that improve the final outcome of the diagnosis process.

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Refinement of the diagnosis process performed with a fuzzy classifier

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