Determination of Failure Rate and Assessment of Risk Priority Number in FMECA using the Fuzzy Theory and Expert System
As the Failure Mode, Effect and Criticality Analysis(FMECA) is being studied, maintenance tasks can be performed effectively through the Risk Priority Number(RPN) evaluation. This RPN provides information which includes the risk level and the priority order of maintenance tasks for components. However, if there is no sufficient historical failure data, the historical failure data from other sources can be used and apply this data to our system. And if we use historical data from other sources without any process, there will be concomitant problems according to a discord of each system characteristic, a difference between the present and the date of failure data and etc. In this paper, a new methodology is proposed to model the failure rate as a fuzzy function to settle these problems. Taking advantage of this result, the RPN can be calculated by using the fuzzy operation. The proposed method is applied to the substation system.
Expert System FMECA Fuzzy Theory Risk Priority Number RPN
Yun-Seong Lee Yoong-Tae Byeon Hyung-Chul Kim Jin-O Kim
Dept. of Electrical Engineering at Hanyang University, Seoul, KOREA Korea Railroad Research Institute, Uiwang, Korea
国际会议
The International Conference on Electrical Engineering 2009(2009 电机工程国际会议)
沈阳
英文
1-5
2009-07-05（万方平台首次上网日期，不代表论文的发表时间）