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Failure and maintenance data extraction from power plant maintenance management databases

Alkali, Babakalli M. and Bedford, Tim and Quigley, John and Gaw, Jim (2009) Failure and maintenance data extraction from power plant maintenance management databases. Journal of Statistical Planning and Inference, 139 (5). pp. 1766-1776. ISSN 0378-3758

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Abstract

Reliability analysis is plagued by a lack of accurate data, leading to suboptimal parameter estimates and inaccurate decisions about replacement intervals and preventive maintenance activities. This paper discusses some of the problems associated with failure and maintenance data extraction from coal-fired power plant maintenance databases. Data from four generating units were observed for over 5 years and a reasonable number of equipment classes reviewed. The coal mills are identified as significant equipment that affects the availability of the generating units. This paper describes the interplay of events which includes failure modes, failure, repair and operating time. We investigate a database showing operation of coal mills, and give an exploratory data analysis in which we investigate engineering hypotheses related to mill operation. A competing risk probability model is proposed which captures some of the observed features of the systems under study.

Item type: Article
ID code: 15634
Keywords: reliability, availability, database, competing risk, Risk Management, Applied Mathematics, Statistics and Probability, Statistics, Probability and Uncertainty
Subjects: Social Sciences > Industries. Land use. Labor > Risk Management
Department: Strathclyde Business School > Management Science
Related URLs:
    Depositing user: Mrs Caroline Sisi
    Date Deposited: 18 Feb 2010 15:42
    Last modified: 04 Sep 2014 23:07
    URI: http://strathprints.strath.ac.uk/id/eprint/15634

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