Failure and maintenance data extraction from power plant maintenance management databases

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

Research output: Contribution to journalArticle

8 Citations (Scopus)

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.
LanguageEnglish
Pages1766-1776
Number of pages10
JournalJournal of Statistical Planning and Inference
Volume139
Issue number5
Early online date29 May 2008
DOIs
Publication statusPublished - 1 May 2009

Fingerprint

Power Plant
Power plants
Maintenance
Coal
Competing Risks Model
Exploratory Data Analysis
Preventive Maintenance
Unit
Preventive maintenance
Probability Model
Failure Mode
Reliability Analysis
Reliability analysis
Inaccurate
Failure modes
Repair
Replacement
Availability
Engineering
Interval

Keywords

  • reliability
  • availability
  • database
  • competing risk

Cite this

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title = "Failure and maintenance data extraction from power plant maintenance management databases",
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Failure and maintenance data extraction from power plant maintenance management databases. / Alkali, Babakalli M.; Bedford, Tim; Quigley, John; Gaw, Jim.

In: Journal of Statistical Planning and Inference, Vol. 139, No. 5, 01.05.2009, p. 1766-1776.

Research output: Contribution to journalArticle

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