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dc.contributor.authorHassan, M.
dc.contributor.authorBoehl, C.
dc.contributor.authorKuruppu, Mahinda
dc.identifier.citationHassan, M. and Boehl, C. and Kuruppu, M. 2019. Predictive maintenance as an integral part of asset life cycle maintenance model. In Lecture Notes in Mechanical Engineering, 229-237.

© Springer Nature Switzerland AG 2019. In a lean economy and stringent maintenance budget, it is necessary to implement a flexible and dynamic Asset Life Cycle Maintenance Model (ALCMM). Also, it is important to achieve the availability and reliability goals. Maintenance best practice entails a sequence of activities in a maintenance strategy- proactive maintenance, predictive maintenance, preventive maintenance and reactive maintenance. However, in the current mining economic downturn, this trend was interrupted due to maintenance budget cuts. In reality, this trend costs more money than following the best maintenance practice sequence. The author aims to depict a simple approach which integrates the predictive maintenance (using vibration analysis) with preventive maintenance targeting the critical equipment to maximise the equipment reliability and availability. The proposed approach will be implemented in three steps-working out the reliability of equipment using First Order Reliability Method (FORM), comparing with the preventive maintenance timeline and finally using the right logical decision to undertake the maintenance of equipment to avoid failures.

dc.titlePredictive maintenance as an integral part of asset life cycle maintenance model
dc.typeBook Chapter
dcterms.source.titleLecture Notes in Mechanical Engineering
curtin.departmentWASM: Minerals, Energy and Chemical Engineering (WASM-MECE)
curtin.accessStatusFulltext not available

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