摘要
目的:基于改进型故障模式影响与危害性分析(FEMCA)方法对麻醉机氧气支路中部分故障进行分析,用以优化原有的FEMA分析中出现的故障综合评分重合等情况,以提高麻醉机的使用安全。方法:根根据FMECA的要求,构建设备故障因素集和评价因素集模型,并对其因素评价矩阵进行判定,采用层析分析法(AHP)和模糊综合评价法分别确定设备故障因素集权重和危害度水平判断,通过反向模糊处理将故障因素危害程度进行数据排序。结果:根据建立的模型对医院麻醉机分析后,得到了故障模式相对应的影响力风险优先数(RPN)中故障严重程度(S)、故障发生频率(O)、故障可检测度(D)3个因素的权重及其赋值,并确定了麻醉机氧气支路故障因素危害程度的数值。结论:利用改进型FEMCA方法分析麻醉机故障,可构建新型故障危害度水平数据排序,最终优化更换配件周期和维修检查频率,有效提高麻醉机的使用安全。
Objective:To perform analysis and application of the faults in the oxygen branch circuit of anesthesia machine based on the improved failure mode effects and criticality analysis(FMECA)method to optimize the coincidence of the comprehensive scores for the faults appearing in current FMEA.Methods:According to the request of FMECA,the factor set and the evaluation factor set were constructed after the evaluation team was established,and the factor evaluation matrix was judged.The weight of factor set and the judgment of hazard level were determined respectively by AHP and fuzzy comprehensive evaluation,and the hazard level was sorted according to the numerical magnitude by inverse fuzzy processing.Results:The improved FMECA model was established to analyze the partial failures of oxygen branch of hospital anesthesia machine to obtain the three-factor weights and assignments of influential risk priority number(RPN)corresponding to the failure mode,and to determine the numerical values of its fault severity level.Conclusion:The improved FMECA analysis method was used to analyze the faults of anesthesia machine,and a new type of new fault hazard degree level sequencing was constructed to optimize the cycle of replacement parts and maintenance inspection frequency.
作者
常骁毅
王腾
赵朝
张琳娟
梅娜
韦延强
李悦彬
李潇
赵永强
CHANG Xiao-yi;WANG Teng;ZHAO Chao(State-Owned Assets Management Office,First Affiliated Hospital of Xi’an Jiaotong University,Xi’an 710061,China;不详)
出处
《中国医学装备》
2022年第1期133-137,共5页
China Medical Equipment
基金
陕西省科技厅软科学研究项目(2017KRM031)“面向服务化的陕西装备制造系统整合预防维修的质量控制策略研究”。