摘要
本研究针对血细胞分析仪失效模式影响及危害度分析(FMECA)无法确定各故障模式之间的相对危害度大小,从发生度(O)、严酷度(S)、被检测度(D)3方面展开故障风险分析,引入区间数原理与风险优先数相结合的方法,使用模糊区间数代替实数来表达不确定信息,克服了传统风险优先数(RPN)法当RPN值相近或相等时各故障模式危害程度难以比较,以及各个风险优先数因子无相对权重的问题。结果表明,该方法能确定各故障模式之间的相对危害度大小,改善薄弱环节,对提高血细胞分析仪的可靠性有重要指导意义。
For blood cell analyzer FMECA(Failure Modes,Effect and Criticality Analysis)could not determine the failure mode between the relative hazard degree of size problem,from occurrence(O),severe degrees(S),detection degree(D)the three aspects of blood cell analyzer failure risk analysis,introducing the principle of interval numbers instead of the method of combining using fuzzy interval numbers instead of real numbers to express the uncertain information.It overcomes the problem that when RPN value is equal or similar,it is difficult to compare the damage degree of each failure mode and there is no relative weight of each risk priority factor.The results show that this method can determine the relative hazard between each failure mode and improve the weak links,which is of great significance to improve the reliability of blood cell analyzer.
作者
谷东伟
石佩茹
岳晓峰
姜振海
黄炜祺
Gu Dongwei Shi Peiru;Yue Xiaofeng;jiang Zhenhai;Huong Weiqi(School of Mechanical Engineering of Changchun University of Technology, Changchun Jilin 130012, China)
出处
《医疗装备》
2019年第11期32-35,共4页
Medical Equipment
基金
吉林省长春市科技计划项目(16CX06)
