Reducing maintenance cost through effective prediction analysis and process integration

Mathew, Avin D., Zhang, Sheng, Ma, Lin, Earle, Tom, & Hargreaves, Douglas J. (2006) Reducing maintenance cost through effective prediction analysis and process integration. Advances in Vibration Engineering, 5(2), pp. 87-96.


Asset management is playing an ever increasing role in sustaining the competitive capability of many businesses. Maintenance costs form a large proportion of asset management costs, and a reduction in these costs can represent significant savings to the business. Many software vendors provide various asset management solutions but lack complete horizontal and vertical integration; and with the sizeable number of systems come an equal number of software interfaces. With businesses that subscribe to different CMMS and condition monitoring systems from different vendors, system integration becomes a nightmare. By resolving the integration issue and considering holistic information, asset management can ascend to a new level through effective predictive maintenance. This paper outlines a proposal for integrating condition monitoring systems with a CMMS through the use of emerging technologies. The OSA-CBM framework will be implemented to monitor the condition of an asset for health assessment and predictive maintenance scheduling. Data will be stored in a MIMOSA-derived database, with communications between the OSA-CBM system and CMMS using the open standard MIMOSA OSA-EAI. The underlying foundation is a web services platform which will assist in turning asset condition data into real cost savings.

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ID Code: 4842
Item Type: Journal Article
Refereed: Yes
Additional Information: Access to the author-version is currently restricted pending permission from the publisher. For more information, please refer to the journal’s website (see link) or contact the author. Author contact details:
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Keywords: Condition monitoring, Computerised maintenance management system, Process integration, OSA, EAI, MIMOSA, Web services
ISSN: 0972-5768
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Divisions: Current > Research Centres > CRC Integrated Engineering Asset Management (CIEAM)
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2006 Krishtel eMaging Solutions
Deposited On: 24 Aug 2006 00:00
Last Modified: 29 Feb 2012 13:05

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