A review on machinery diagnostics and prognostics implementing condition-based maintenance

Stable non-Gaussian random processes , by G. Samorodnitsky and M. S. Taqqu. Pp. 632. £49.50. 1994. ISBN 0-412-05171-0 (Chapman and Hall).

Remaining useful life estimation - A review on the statistical data driven approaches

Cost Effectiveness in Health and Medicine.

Deep learning and its applications to machine health monitoring

The focus of the paper is the optimization of condition-based maintenance decisions within the contexts of physical asset management. In particular, the analysis of a preventive replacement policy of the control-limit type for a deteriorating system subject to inspections at discrete points of time is presented. Cox’s PHM with a Weibull baseline hazard function and time dependent stochastic covariates is used to describe the failure rate of the system. The methods of estimating model parameters and the calculation of the optimal policy are given. The structure of the decision-making software EXAKT is presented. Experience with collecting, preprocessing and using real oil and vibration data is reported.

A Control-Limit Policy And Software For Condition-Based Maintenance Optimization

Calculation of reliability function and remaining useful life for a Markov failure time process

This paper describes a case study in which the Weibull proportional-hazards model is used to determine the optimal replacement policy for a critical item which is subject to vibration monitoring. Such an approach has been used to date in the context of monitoring through oil debris analysis, and this approach is extended in this paper to the vibration monitoring context. The Weibull proportional-hazards model is reviewed along with the software EXAKT used for optimization. In particular the case considers condition-based maintenance for circulating pumps in a coal wash plant that is part of the SASOL petrochemical company. The condition-based maintenance policy recommended in this study is based on histories collected over a period of 2 years, and is compared with current practice. The policy is validated using data that arose from subsequent operation of the plant.

https://link.springer.com/content/pdf/10.1057%2Fpalgrave.jors.2601261.pdf

Dragan Banjevic

Papers

A review on machinery diagnostics and prognostics implementing condition-based maintenance

A Control-Limit Policy And Software For Condition-Based Maintenance Optimization

Calculation of reliability function and remaining useful life for a Markov failure time process

Optimal component replacement decisions using vibration monitoring and the proportional-hazards model

Intelligent condition-based prediction of machinery reliability