Diagnosis interval estimation in process analysis for troubleShooting tasks

Research output: Contribution to journalArticlepeer-review

Abstract

The paper presents an approach for dealing with the problems of process diagnosis interval estimation for troubleshooting tasks including the stochastic factors involved in the decision environment, and taking the issue of parameter variability relevance into consideration. It integrates Taguchi's deterministic approach for determining optimal diagnosis interval with the more traditional statistical decision making tools for use in troubleshooting investigations applicable to repair maintenance. Suggestions for extending these methods for decision making in preventive maintenance scheduling, as well as in other process control tasks are included.

Original languageEnglish (US)
Pages (from-to)519-524
Number of pages6
JournalComputers and Industrial Engineering
Volume17
Issue number1-4
DOIs
StatePublished - 1989
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

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