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Forecasting Components Failures Using Ant Colony Optimization for Predictive Maintenance
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-3797-4605
Qom University of Technology, Qom, Iran.
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2021 (English)In: Proceedings of the 31st European Safety and Reliability Conference / [ed] Bruno Castanier; Marko Cepin; David Bigaud; Christophe Berenguer, Singapore: European Safety and Reliability Association, 2021, p. 2947-2954Conference paper, Published paper (Refereed)
Abstract [en]

Failures are the eminent aspect of any sophisticated machine such as vehicles. Early detection of faults and prioritized maintenance is a necessity of vehicle manufacturers as it enables them to reduce maintenance costs, safety risks and increase customer satisfaction. In this study, we propose to use a type of Ant Colony Optimization (ACO) algorithm to diagnose vehicles faults. We explore the effectiveness of ACO for solving fault detection in the form of a classification problem, which would be used for predictive maintenance by the manufacturers. We show experimental evaluations on the real data captured from heavy-duty trucks illustrating how optimization algorithms can be used as a classification approach to forecast component failures in the context of predictive maintenance © ESREL 2021

Place, publisher, year, edition, pages
Singapore: European Safety and Reliability Association, 2021. p. 2947-2954
Keywords [en]
Ant colony optimization, fault detection, machine learning, artificial intelligence, predictive maintenance
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hh:diva-45416DOI: 10.3850/978-981-18-2016-8_663-cdScopus ID: 2-s2.0-85135465496ISBN: 978-981-18-2016-8 (print)OAI: oai:DiVA.org:hh-45416DiVA, id: diva2:1586675
Conference
31st European Safety and Reliability Conference, Angers, France, 19 – 23 September, 2021
Available from: 2021-08-20 Created: 2021-08-20 Last updated: 2023-02-01Bibliographically approved

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Khoshkangini, RezaOrand, Abbas

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • Other style
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • nn-NB
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Output format
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  • asciidoc
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