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An agent-based platform for web-enabled equipment predictive maintenance

  • Li Yan*
  • , Chun Lu
  • , Nee Yeh Ching Andrew
  • *Corresponding author for this work
  • Agency for Science, Technology and Research, Singapore
  • National University of Singapore

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

Abstract

Conceptually, web-integration predictive maintenance approaches are potential to meet the higher requirements of global equipment maintenance, such as zero-downtime and minimized maintenance cost. However, due to the complexity of real global manufacturing environment and limitations of predictive maintenance technology and information technology, it is a big challenge to set up a platform to implement a web-enabled predictive maintenance system. In this paper, an agent-based platform is presented for web-enabled equipment predictive maintenance system. The basic agent structure of a web-enabled predictive maintenance system is defined. Based on the definition, the structure of web-enabled predictive maintenance system for single machine is analyzed. It is then extended to the factory level with many different equipments and the enterprise level for global production.

Original languageEnglish
Title of host publicationProceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05
Pages132-135
Number of pages4
DOIs
StatePublished - 2005
Externally publishedYes
Event2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology - France, France
Duration: 19 Sep 200522 Sep 2005

Publication series

NameProceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05
Volume2005

Conference

Conference2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Country/TerritoryFrance
CityFrance
Period19/09/0522/09/05

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