Picture of smart phone in human hand

World leading smartphone and mobile technology research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

Explore Strathclyde's Open Access research on smartphone technology now...

Competing risks and opportunistic informative maintenance

Bedford, T. and Alkali, B. M. (2009) Competing risks and opportunistic informative maintenance. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 223 (4). pp. 363-372. ISSN 1748-006X

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

The present paper makes a link between the literature on competing risks and that of opportunistic maintenance. Three models for competing risk involving censoring through opportunistic maintenance are discussed. One is an existing opportunistic maintenance model, one is a new opportunistic variant on an existing competing risk model, and the third is a new model that captures the notion of opportunistic informative maintenance. These models show that even though opportunities may occur according to a process that is independent of the failure process, the appropriate competing risk models may still involve dependencies. This work was motivated by observation of practices in a coal-fired power plant consisting of four generating units, which is briefly described. Through simulation examples it is shown how these competing risk models can be used to support decision making about maintenance rules, and the identifiability issues associated with the models are discussed. Competing risk theory addresses statistical estimation problems which are a common concern in much of the maintenance literature, and focuses attention on non-age-related information available to maintainers.