Condition based monitoring application in predictive maintenance strategies for total asset and facility management service

Shahnon Abdul Rahman, Zambri Harun, Nurulhuda Hashim

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

Abstract

Buildings, plants and equipment are strategic resources and the maintenance of these assets are utmost important. However, the management and maintenance of such assets involve a significant amount of money and human power. The appointed management team of these assets usually hires very experienced maintenance personnel to ensure the technical aspects are taken care of. Tenants, passengers, customers or visitors comfort are compromised when there are breakdowns. To make matter worse, frontline workers are exposed to high degree hazards. Management team has to adopt a new approach to handle large facility, where typical smart Building Management System (BMS) seems not intelligent enough to predict equipment failures. With the increasing complexity and sophistication of modern facilities, the needs for specialists to manage and coordinate these strategic resources become crucial. Routine Condition-based Monitoring (CbM) programme minimizes the unexpected equipment failure and it is a proactive way to prevent equipment mortality. Advanced diagnostic tools are used to create historical data based on assets conditions; from this, assets' analyses could be performed. Through the study, when failures are avoided, a potential saving is predicted and disturbances to end users are minimized.

Original languageEnglish
Title of host publicationApplied Mechanics and Materials
Pages119-124
Number of pages6
Volume471
DOIs
Publication statusPublished - 2014
Event4th International Conference on Noise, Vibration and Comfort, NVC 2012 - Kuala Lumpur
Duration: 26 Nov 201228 Nov 2012

Publication series

NameApplied Mechanics and Materials
Volume471
ISSN (Print)16609336
ISSN (Electronic)16627482

Other

Other4th International Conference on Noise, Vibration and Comfort, NVC 2012
CityKuala Lumpur
Period26/11/1228/11/12

Fingerprint

Monitoring
Intelligent buildings
Hazards
Personnel

Keywords

  • Condition-based monitoring (CbM)
  • Facility management
  • Predictive maintenance

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Rahman, S. A., Harun, Z., & Hashim, N. (2014). Condition based monitoring application in predictive maintenance strategies for total asset and facility management service. In Applied Mechanics and Materials (Vol. 471, pp. 119-124). (Applied Mechanics and Materials; Vol. 471). https://doi.org/10.4028/www.scientific.net/AMM.471.119

Condition based monitoring application in predictive maintenance strategies for total asset and facility management service. / Rahman, Shahnon Abdul; Harun, Zambri; Hashim, Nurulhuda.

Applied Mechanics and Materials. Vol. 471 2014. p. 119-124 (Applied Mechanics and Materials; Vol. 471).

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

Rahman, SA, Harun, Z & Hashim, N 2014, Condition based monitoring application in predictive maintenance strategies for total asset and facility management service. in Applied Mechanics and Materials. vol. 471, Applied Mechanics and Materials, vol. 471, pp. 119-124, 4th International Conference on Noise, Vibration and Comfort, NVC 2012, Kuala Lumpur, 26/11/12. https://doi.org/10.4028/www.scientific.net/AMM.471.119
Rahman, Shahnon Abdul ; Harun, Zambri ; Hashim, Nurulhuda. / Condition based monitoring application in predictive maintenance strategies for total asset and facility management service. Applied Mechanics and Materials. Vol. 471 2014. pp. 119-124 (Applied Mechanics and Materials).
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