基于呼吸机传感器系统故障关联的失效率和可靠性研究  

Research on Failure Rate and Reliability Based on Fault Correlation of Ventilator Sensor System

作　　者：徐慧 王士森 XU Hui;WANG Shisen(Department of Medical Engineering,Nanjing Tongren Hospital,Nanjing Jiangsu 210000,China)

机构地区：[1]南京同仁医院医学工程部,江苏南京210000

出　　处：《中国医疗设备》2024年第1期44-49,共6页China Medical Devices

摘　　要：目的 针对呼吸机使用过程中存在的故障率高、危害性强等问题,分析呼吸机传感器系统故障关联,探究呼吸机传感器系统的失效率和可靠性,为呼吸机预防性维护提供参考。方法 选取2010—2022年间我院及原厂工程师提供的单一型号呼吸机传感器系统相关维修工单为研究对象,使用伽马分布模型和参数估计方法,选取拟合优度检验、K-S检验,拟合优度评价指标包括均方误差、均方根误差、平均绝对误差对模型进行验证分析。结果 呼吸机6种故障点K-S检验统计量D值分别为1.99×10^(-2)、2.98×10^(-2)、4.03×10^(-2)、4.06×10^(-2)、3.13×10^(-2)、6.22×10^(-2),拟合优度检验统计量χ2分别为396.95、601.01、23.25、13.94、52.35、5.55。除气体混合压力传感器故障外,各故障点模型计算值与实际值分布相同,差异具有统计学意义(P<0.05)。6种故障点平均故障间隔时间、可靠性均值时间以及极值时间均与实际结果基本保持一致。结论 基于伽马理论的故障分布模型,可对呼吸机传感器系统的故障分布、失效率以及可靠性进行有效分析,为制定有针对性的预防性维护方案提供循证依据。Objective To analyze the fault correlation of ventilator sensor system,provide solution for the problems including high failure rate and potential hazard during the usage of ventilator,and provide reference for preventive maintenance of ventilator.Methods The maintenance work orders related to the sensor system of a single type of ventilator provided by our hospital and the original factory engineers from 2010 to 2022 were collected and sorted out as the research object.The establishment of the gamma distribution model and the method of parameter estimation were used,and the model was verified and analyzed using goodness of fit test,K-S test,evaluation index of goodness of fit including mean square error,root mean square error,and mean absolute error.Results The K-S test statistic D values for the six types of ventilator failure points were 1.99×10^(-2),2.98×10^(-2),4.03×10^(-2),4.06×10^(-2),3.13×10^(-2),-26.22×10^(-2) respectively.The goodness of fit test statistic χ^(2) were 396.95,601.01,23.25,13.94,52.35,5.55,respectively.Except for gas mixture pressure sensor faults,the distribution of calculated values and actual values of each fault point model was statistically significant(P<0.05).The mean time between failures,reliability mean time and extreme value time of the six failure points were basically consistent with the actual results.Conclusion The fault distribution model based on the gamma theory can effectively analyze the fault distribution,failure efficiency and reliability of the ventilator sensor system,and can provide evidence-based basis for formulating targeted preventive maintenance programs,which has certain research significance.

关 键 词：呼吸机传感器系统 预防性维护 伽马分布模型 拟合优度检验 K-S检验 

分 类 号：R197.39[医药卫生—卫生事业管理]