Implementation of hypothesis-test strategy for fault diagnosis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A hybrid intelligent system is developed to assist human operators in diagnosing faults of a manufacturing system. The hybrid intelligent system integrates neural computing technology and conventional computing technology to implement hypothesis-test cycles of fault diagnosis process. With abilities in knowledge generalization, fuzzy information processing, and common symptom handling, the hybrid intelligent system demonstrates highly reliable fault diagnosis performance on both single-fault and multiple-fault events.

Original languageEnglish (US)
Title of host publicationProceedings of the Industrial Engineering Research Conference
EditorsDeborah A. Mitta, Laura I. Burke, John R. English, Jennie Gallimore, Georgia-Ann Klutke, Gregory L. Tonkay
PublisherPubl by IIE
Pages619-623
Number of pages5
ISBN (Print)0898061326
StatePublished - Dec 1 1993
Externally publishedYes
EventProceedings of the 2nd Industrial Engineering Research Conference - Los Angeles, CA, USA
Duration: May 26 1993May 28 1993

Publication series

NameProceedings of the Industrial Engineering Research Conference

Other

OtherProceedings of the 2nd Industrial Engineering Research Conference
CityLos Angeles, CA, USA
Period5/26/935/28/93

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Ye, N. (1993). Implementation of hypothesis-test strategy for fault diagnosis. In D. A. Mitta, L. I. Burke, J. R. English, J. Gallimore, G-A. Klutke, & G. L. Tonkay (Eds.), Proceedings of the Industrial Engineering Research Conference (pp. 619-623). (Proceedings of the Industrial Engineering Research Conference). Publ by IIE.