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EM알고리즘을 이용한 기계부품의 고장 원인 및 신뢰성 분석
정나미(Nami Jeong),손병관(Byeongkwan Son),박찬석(Chanseok Park) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
Consider a system that is made up of multiple components connected in a series. In this case, the failure of the whole system is caused by the earliest failure of any of the components, which is commonly referred to as competing failure mode. It is also called competing risk model in the literature. Many analysis tools such as ReliaSoft have the CFM method but it is not a good fit, compared to the method of EM algorithm for CFM. In this paper, we introduce Competing Failure Mode using the EM algorithm. We applied to real data example with three failure modes in order to estimate the shape and scale parameters of the system. In addition, reliability measures (reliability, characteristic life) are compared with ReliaSofts results. The proposed method can be easily implemented using the developed R program.
EM알고리즘을 이용한 기계부품의 고장 원인 및 신뢰성 분석
정나미(Nami Jeong),손병관(Byeongkwan Son),박찬석(Chanseok Park) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
Consider a system that is made up of multiple components connected in a series. In this case, the failure of the whole system is caused by the earliest failure of any of the components, which is commonly referred to as competing failure mode. It is also called competing risk model in the literature. Many analysis tools such as ReliaSoft have the CFM method but it is not a good fit, compared to the method of EM algorithm for CFM. In this paper, we introduce Competing Failure Mode using the EM algorithm. We applied to real data example with three failure modes in order to estimate the shape and scale parameters of the system. In addition, reliability measures (reliability, characteristic life) are compared with ReliaSofts results. The proposed method can be easily implemented using the developed R program.