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http://dx.doi.org/10.3795/KSME-A.2010.34.9.1325

Determination of Maintenance Period and Failure Probability for Turbine Using Maintenance Record  

Song, Gee-Wook (Korea Electric Power Corporation, Research Institute)
Koo, Jae-Raeyang (Korea Electric Power Corporation, Research Institute)
Choi, Woo-Sung (Korea Electric Power Corporation, Research Institute)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.34, no.9, 2010 , pp. 1325-1330 More about this Journal
Abstract
The breakdown of any critical component of a turbine results in the outage of power plants. Unexpected failure decreases equipment utilization and causes enormous economic losses. Currently, we conduct conservative preventive maintenance for a maintenance period that is proposed by a vendor. In the rapidly changing business environment, reliability-based maintenance is required in order to remain competitive and reduce maintenance costs while maintaining the reliability of equipment. In order to determine an appropriate maintenance period for guaranteeing reliability, we must determine the failure probability by carefully analyzing the failure history of the equipment. In this study, we created a database of failure history for power-plant turbines, predicted the best repair time using the Weibull function, and investigated how the appropriate maintenance cycle can be determined.
Keywords
Weibull Distribution; Turbine Equipment; Failure Probability; Maintenance Period; Maintenance History;
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