Objective:To analyze and assess the reliability of autoclaves of medical institution based on the failure data of the autoclaves of hospital.Methods:The failure data of autoclaves were analyzed by using four statistical models:Weibull distribution,Exponential distribution,Log-Normal distribution,and q-Weibull distribution.Chart tools were used to show the performance of different statistical distribution models in fitting data.Results:Comparisons of 4 kinds of statistical models revealed that the corrected Akaike Information Criterion(AICc)of statistical model of Log-Normal distribution was 564.4512,and the Bayesian Information Criterion(BIC)value(568.7691)of that was the lowest,and KS statistic(0.0739)of that was the smallest(P>0.05).Therefore,fitting effect of statistical model of Log-Normal distribution was the best fit,which was the most suitable model for analyzing the failure data set of autoclaves.Conclusion:Utilizing different statistical models to conduct the reliability analysis for failure data of autoclave can provide references for clinical engineers in optimizing maintenance strategies for autoclave.
Pressure steam sterilizerReliabilityMean time between failures
国家科技期刊平台
NSTL
万方数据
