Abstract

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Title:: Fault tree analysis for multi-parameter monitor based on aggregate fuzzy number

Author(s):: FAN Liping1; CHONG Yinbao1; LANG Lang1; MA Jianchuan1; XIAO Jingjing1; LIU Xiangjun2; L?Simin1; 1.Department of Medical Engineering, the Second Affiliate Hospital of Army Medical University, Chongqing 400037, China 2. Unit 32572 of the Chinese Peoples Liberation Army, Anshun, 561000, China

Keywords:: Keywords: multi-parameter monitor fault diagnosis fault tree aggregate fuzzy number Bland-Altman analysis

Abstract:: Abstract: In view of the high failure rates of emergency medical equipments such as multi-parameter monitor and its maintenance dilemmas, including complex failure phenomena and failure causes, lack of equipment technical drawings, weak maintenance capabilities, high maintenance costs for manufacturers or third parties, etc., a fault diagnosis model for the fault tree analysis for multi-parameter monitor based on aggregate fuzzy number is proposed in the study. The fault tree model was firstly established by analyzing the structure of multi-parameter monitor and then considering its lack of fault data and the subjectivity of expert evaluation, aggregate fuzzy number was adopted to determine the failure rate of bottom events, and the critical importance of bottom events was analyzed. Finally, Bland-Altman analysis was used to confirm that the results of this experiment were 96.88% consistent with the results of verification experiments, which proved the effectiveness of the proposed method. The proposed method which makes up for the lack of fault data and the subjectivity of expert evaluation by combining expert evaluation method and aggregate fuzzy number is suitable for fault determination of process diagnosis and prior identification of potential risks, and it also provides an idea for system reliability analysis and fault diagnosis.