| Title |
FMECA Expert System Using Fuzzy Linear Opinion Pool |
| Authors |
Yoong-Tae Byeon ; Dong-Jin Kim ; Jin-O Kim |
| Keywords |
Linear Opinion Pool ; FMECA Expert System ; Fuzzy Theory |
| Abstract |
Failure Mode Effects and Criticality Analysis (FMECA) is one of most widely used methods in modem engineering system to investigate potential failure modes and its severity upon the system FMECA evaluates criticality and severity of each failure mode and visualize the risk level matrix putting those indices to column and row variable respectably. Generally, those indices are determined subjectively by experts and operators. However, this process has no choice but to include uncertainty. In this paper, a method for eliciting expert opinions considering its uncertainty is proposed to evaluate the criticality and severity. In addition, a fuzzy expert system is constructed in order to determine the crisp value of risk level for each failure mode. Finally, an illustrative example system is analyzed in the case study. The results are worth considering while deciding the proper policies for each component of the system. |