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.
Impact and interest:
Citation countsare sourced monthly fromand citation databases.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Journal Article|
|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: email@example.com|
|Keywords:||Condition monitoring, Computerised maintenance management system, Process integration, OSA, EAI, MIMOSA, Web services|
|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|
|Last Modified:||29 Feb 2012 23:05|
Repository Staff Only: item control page