Predictive maintenance with multi-target classification models

Mark Last, Alla Sinaiski, Halasya Siva Subramania

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

18 Scopus citations

Abstract

Unexpected failures occurring in new cars during the warranty period increase the warranty costs of car manufacturers along with harming their brand reputation. A predictive maintenance strategy can reduce the amount of such costly incidents by suggesting the driver to schedule a visit to the dealer once the failure probability within certain time period exceeds a pre-defined threshold. The condition of each subsystem in a car can be monitored onboard vehicle telematics systems, which become increasingly available in modern cars. In this paper, we apply a multi-target probability estimation algorithm (M-IFN) to an integrated database of sensor measurements and warranty claims with the purpose of predicting the probability and the timing of a failure in a given subsystem. The multi-target algorithm performance is compared to a single-target probability estimation algorithm (IFN) and reliability modeling based on Weibull analysis.

Original languageEnglish
Title of host publicationIntelligent Information and Database Systems - Second International Conference, ACIIDS, Proceedings
Pages368-377
Number of pages10
EditionPART 2
DOIs
StatePublished - 17 Sep 2010
Event2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010 - Hue City, Viet Nam
Duration: 24 Mar 201026 Mar 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5991 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010
Country/TerritoryViet Nam
CityHue City
Period24/03/1026/03/10

Keywords

  • Fault Prognostics
  • Info-Fuzzy Networks
  • Multi-Target Classification
  • Predictive Maintenance
  • Reliability
  • Telematics
  • Vehicle Health Management

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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