Availability Model of a PHM-Equipped Component

Michele Compare, Luca Bellani and Enrico Zio ()
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Enrico Zio: SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec - Ecole Centrale Paris - Ecole Supérieure d'Electricité - SUPELEC (FRANCE) - CentraleSupélec - EDF R&D - EDF R&D - EDF - EDF, LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec

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Abstract: —A variety of prognostic and health management (PHM) algorithms have been developed in the last years and some metrics have been proposed to evaluate their performances. However , a general framework that allows us to quantify the benefit of PHM depending on these metrics is still lacking. We propose a general , time-variant, analytical model that conservatively evaluates the increase in system availability achievable when a component is equipped with a PHM system of known performance metrics. The availability model builds on metrics of literature and is applicable to different contexts. A simulated case study is presented concerning crack propagation in a mechanical component. A simplified cost model is used to compare the performance of predictive maintenance based on PHM with corrective and scheduled maintenance. Index Terms—Availability, cost-benefit analysis, Monte Carlo (MC) simulation, prognostics and health Management (PHM) metrics.

Date: 2017-06
New Economics Papers: this item is included in nep-cmp and nep-hea
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Citations: View citations in EconPapers (5)

Published in IEEE Transactions on Reliability, 2017, 66 (2), pp.487 - 501. ⟨10.1109/TR.2017.2669400⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01652232

DOI: 10.1109/TR.2017.2669400

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