Condition based maintenance (CBM) is a technique that relies on data and analysis to identifyand diagnose equipment faults through the use of sensors and other data collection devices.CBM is used normally for high asset value equipment in sectors such as aviation andautomobile racing (Formula One). As a proactive maintenance technique, CBM is rarely usedin the general maintenance areas of the built environment. It is believed generally that CBM istoo expensive given the normal equipment asset values within the built environment.Therefore, a fifteen-month monitoring study was undertaken manually to determine thefeasibility and impact of CBM on eighty-three rotary assets (valued at £1.5 mil. and about 5%of the existing centrifugal pumps and air handling unit fans and motors) in a large public sectorbuilding in the UK (over 1 mil. square meters of space) with a maintenance budget of circa £4mil per annum. The benefits of moving to a CBM approach are expected to have positiveimpacts on the reliability, downtime, replacement and operational costs, and life of an asset.The results of the pilot study indicated that there were significant opportunities across the entirespectrum of benefit categories. These included: improved fault detection and diagnosis;including a 10% reduction in reactive maintenance and 11% labor cost savings; 5% estimatedreduction in electricity usage and associated carbon emissions, as well as extend asset life.Further, based on this pilot a CBM framework was developed and funded to take a sensor basedanalysis of these assets in anticipation of gaining a 239% net savings on total cost to implementover the life of the PFI contract.
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