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 0378-3758Full text not available in this repository. (Request a copy from the Strathclyde author)
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.
|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|
|Depositing user:||Mrs Caroline Sisi|
|Date Deposited:||18 Feb 2010 15:42|
|Last modified:||06 Jan 2017 06:59|