| Title |
Decision of Maintenance Priority of Power System Using an Improved Risk Priority Number Methodology Based on Fuzzy Theory |
| Authors |
이성훈(Sung-Hun Lee) ; 오병찬(Byeong-Chan Oh) ; 김성열(Sung-Yul Kim) |
| DOI |
https://doi.org/10.5370/KIEEP.2021.70.2.094 |
| Keywords |
Reliability centered maintenance; Risk priority number. Fuzzy inference system |
| Abstract |
Due to the rapid development of industry and the introduction of renewable energy, power system has became more complex and had various problems. The operator of power utilities have made efforts in enhancing the efficiency based on the characteristics of these facilities. This paper suggests an optimal maintenance strategy for electric power system based on a reliability assessment. The reliability assessment is performed by risk priority number(RPN) developed by severity(S), occurrence(O), detection(D). The traditional RPN method for ranking and assessing the risk of potential failure mode have a crucial problem to be considered on the analysis results. The proposed RPN method using Fuzzy inference system is a method to resolve the ambiguity of the results with the traditional condition assessment method. The New Fuzzy-RPN method is tested using actual recorded data of power system |