Failure and maintenance data extraction from power plant maintenance management databases

Babakalli M. Alkali, Tim Bedford, John Quigley, Jim Gaw

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)1766-1776
Number of pages10
JournalJournal of Statistical Planning and Inference
Issue number5
Early online date29 May 2008
Publication statusPublished - 1 May 2009


  • reliability
  • availability
  • database
  • competing risk


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