Servitisation of fault diagnosis for mechanical equipment in cloud manufacturing

Junwei Yan, Quan Liu, Wenjun Xu, Chunqian Ji, Duc Pham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
183 Downloads (Pure)

Abstract

Faults in mechanical equipment could cause breakdown of time-critical production systems, which is very expensive in terms of production losses and re-commissioning costs. In cloud manufacturing, the scattered distribution of mechanical equipment and fault diagnosis resources, such as experts and specialist instruments, etc., could hinder the development of fault diagnosis systems. The idea of resource servitisation, aimed at resource sharing and collaboration, will lead fault diagnosis systems toward integration, low cost and high efficiency. This paper focuses on the servitisation of fault diagnosis for mechanical equipment in cloud manufacturing. A new service-oriented fault diagnosis system framework for mechanical equipment is proposed, together with a new servitisation method of fault diagnosis for mechanical equipment. Moreover, enabling technologies, e.g. XML, Web Services Definition Language (WSDL), Axis2, are also analysed. Finally, a prototype system is presented that demonstrates the feasibility and effectiveness of the developed architecture and servitisation method in a cloud manufacturing environment.
Original languageEnglish
Title of host publicationProceedings IEEE 13th International Conference on Industrial Informatics (INDIN 2015)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781479966493
DOIs
Publication statusPublished - 2015
Event2015 IEEE 13th International Conference on Industrial Informatics - Cambridge, United Kingdom
Duration: 22 Jun 201524 Jun 2015

Conference

Conference2015 IEEE 13th International Conference on Industrial Informatics
Country/TerritoryUnited Kingdom
CityCambridge
Period22/06/1524/06/15

Keywords

  • Fault diagnosis
  • Servitisation
  • Cloud manufacturing

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