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 thesemetrics 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 costmodel is used to compare the performance of predictive maintenance based on PHM with corrective and scheduled maintenance.

Availability Model of a PHM-Equipped Component

Compare, Michele;Zio, Enrico
2017-01-01

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 thesemetrics 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 costmodel is used to compare the performance of predictive maintenance based on PHM with corrective and scheduled maintenance.
2017
Availability; Cost-benefit analysis; Monte carlo (mc) simulation; Prognostics and health management (phm) metrics; Safety, Risk, Reliability and Quality; Electrical and Electronic Engineering
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1053244
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