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http://dx.doi.org/10.5370/KIEE.2017.66.3.500

Failure Rate Calculation using the Mixture Weibull Distribution  

Chai, Hui-seok (Dept. of Electrical Engineering, Soongsil Univ.)
Shin, Joong-woo (Dept. of Electrical Engineering, Soongsil Univ.)
Lim, Tae-jin (Dept. of Industrial Information System Engineering, Soongsil University)
Kim, Jae-chul (Dept. of Electrical Engineering, Soongsil University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.66, no.3, 2017 , pp. 500-506 More about this Journal
Abstract
In 2014, ISO 55000s has been enacted and the power plant asset management is becoming a hot issue for all over the world. The asset management system is being developed as a combination of CBM(Condition Based Maintenance) and RCM(Reliability Centered Maintenance). Therefore, the research on the calculation of the failure rate which is the most basic index of RCM is actively carried out. The failure rate calculation has been going on for a long time, and the most widely used probability distribution is the Weibull distribution. In the Weibull distribution, the failure rate function is determined in three types according to the value of the shape parameter. However, the Weibull distribution has a limitation that it is difficult to apply it when the trend of failure rate changes-such as bathtub curves. In this paper, the failure rate is calculated using the mixture Weibull distribution which can appropriately express the change of the shape of the failure rate. Based on these results, we propose the necessity and validity of applying mixture Weibull distribution.
Keywords
Faiure Rate; Weibull distribution; Probability distribution; Mixture weibull distribution; Reliability;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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