Stopping time optimisation in condition monitoring

Tony Rosqvist

doi:10.1016/S0951-8320(02)00026-1

Stopping time optimisation in condition monitoring

Tony Rosqvist

Research output: Contribution to journal › Article › Scientific › peer-review

8 Citations (Scopus)

Abstract

Automated condition monitoring of active components of a system can improve the cost-efficiency of preventive and corrective maintenance and the availability of the production system. The validity, reliability and correct interpretation of the signals obtained from the condition monitoring instrumentation is important for the realisation of the potential benefits. The utilisation of experts in the interpretation of the condition monitoring signals is therefore crucial.

In the paper, a stopping time model is formulated, where experts' judgements on the remaining operating time of a component, given an indication of incipient failure, are utilised to arrive at optimal operational maintenance decisions. Optimality is defined in the sense of maximising expected utility. An expert model is also formulated, which utilises percentile information elicited from the experts. The modelling framework allows for the testing of different modelling assumptions which affect the decision outcomes.

Original language	English
Pages (from-to)	319-325
Journal	Reliability Engineering and System Safety
Volume	76
Issue number	3
DOIs	https://doi.org/10.1016/S0951-8320(02)00026-1
Publication status	Published - 2002
MoE publication type	A1 Journal article-refereed

Keywords

condition monitoring
stopping time optimisation model
expert judgement
predictive maintenance

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10.1016/S0951-8320(02)00026-1

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Rosqvist, T. (2002). Stopping time optimisation in condition monitoring. Reliability Engineering and System Safety, 76(3), 319-325. https://doi.org/10.1016/S0951-8320(02)00026-1

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