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A dynamic maintenance policy based on prognostic for a single-unit system under indirect condition monitoring

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Abstract

This work deals with a dynamic maintenance policy based on prognostic for a single-unit deteriorating system. In order to take a step forward to practice, the system is assumed operating under indirect condition monitoring. The degradation of system is described by a crack growth evolution modelled by the Paris-Ergodan law, and a non-destructive ultrasonic technique is used to monitor the system condition. A procedure of state estimation and prediction of values associated with system health from the noisy measured data are performed thanks to the well-known particle filter algorithm. Then based on these estimated/predicted value, a dynamic maintenance policy is developed and is compared with two more classical policies (i.e. block replacement or periodic inspection/replacement). The comparison results on the optimal expected maintenance cost rate will show the performance of the proposed dynamic maintenance.
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hal-02558062 , version 1 (29-04-2020)

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  • HAL Id : hal-02558062 , version 1

Cite

Khac Tuan Huynh, Anne Barros, Christophe Bérenguer. A dynamic maintenance policy based on prognostic for a single-unit system under indirect condition monitoring. 38th ESReDA Seminar & 3rd joint ESReDA/ESRA seminar on Advanced Maintenance Modelling, May 2010, Pecs, Hungary. ⟨hal-02558062⟩
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