Search and detection of failed components in repairable complex systems under imperfect inspections

Boris Kriheli, Eugene Levner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

We study a problem of scheduling search-and-detection activities in complex technological and organizational systems. Prior probabilities of failures are known for each element, and the decision maker has to sequentially inspect the components so that to find a failed component within a given level of confidence. The inspections are imperfect; namely, a probability of overlooking the failed element and a probability of a "false alarm" exist. An index-based algorithm for finding the optimal search strategy is developed. An example for robotic search systems is discussed.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, Revised Selected Papers
Pages399-410
Number of pages12
EditionPART 2
DOIs
StatePublished - 2013
Externally publishedYes
Event11th Mexican International Conference on Artificial Intelligence, MICAI 2012 - San Luis Potosi, Mexico
Duration: 27 Oct 20124 Nov 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7630 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th Mexican International Conference on Artificial Intelligence, MICAI 2012
Country/TerritoryMexico
CitySan Luis Potosi
Period27/10/124/11/12

Keywords

  • Discrete search
  • False-negative detection
  • Falsepositive detection
  • Greedy algorithm
  • Imperfect inspections
  • Search-and-detection

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