The presentation of knowledge and state-information for system fault diagnosis

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Summary & Conclusions -System fault diagnosis is often performed by humans using fault diagnosis knowledge such as fault trees and system state information. An experiment was conducted to investigate how various forms of presenting fault trees and system state information affect human performance and preference during fault diagnosis. Three knowledge presentations (a semantic network, a schema-based semantic network, and production rules) and four state-information presentations (direct manipulation, menus, fill-in-forms, commands) were examined in the experiment; 30 subjects participated. The results of the experiment indicated that knowledge presentation by the semantic network yielded better subject performance of fault diagnosis. In addition, direct manipulation was the most favorite form of state information presentation to the subjects. The -4-significant interaction between the knowledge presentations and the state information presentations in terms of subject preference was also found.

Original languageEnglish (US)
Pages (from-to)638-645
Number of pages8
JournalIEEE Transactions on Reliability
Volume45
Issue number4
DOIs
StatePublished - 1996
Externally publishedYes

Fingerprint

Failure analysis
Semantics
Experiments

Keywords

  • Fault diagnosis
  • Fault tree
  • Information presentation
  • State information

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Computer Graphics and Computer-Aided Design
  • Software
  • Safety, Risk, Reliability and Quality

Cite this

The presentation of knowledge and state-information for system fault diagnosis. / Ye, Nong.

In: IEEE Transactions on Reliability, Vol. 45, No. 4, 1996, p. 638-645.

Research output: Contribution to journalArticle

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