Analysis on the reliability of failure data set of autoclaves based on different statistical models
10.3969/j.issn.1672-8270.2024.06.006
- VernacularTitle:基于不同统计模型对压力蒸汽灭菌器故障数据集的可靠性分析
- Author:
Tianping ZHONG
1
;
Xiaoning ZHANG
;
Lichun ZHENG
Author Information
1. 南京大学医学院附属口腔医院 南京市口腔医院医疗设备科 南京 210008
- Keywords:
Pressure steam sterilizer;
Reliability;
Mean time between failures
- From:
China Medical Equipment
2024;21(6):29-33,39
- CountryChina
- Language:Chinese
-
Abstract:
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.
