摘要
采用基于失效数据统计分布拟合的方法,对婴儿培养箱风机进行剩余寿命预测,从而指导进行预防性维护。首先,对风机的失效数据进行预处理;其次,运用先验知识对风机的失效数据进行威布尔(Weibull)分布建模;再次,采用极大似然法估计模型参数,得出婴儿培养箱风机的寿命分布;最后,应用建立的模型对婴儿培养箱风机进行剩余寿命预测。研究结果表明,上述方法能够用于零部件的剩余寿命预测,从而指导对医疗设备进行预测性维护。
The fitting of the statistical distribution of failure data is used to estimate the remaining useful life of infant incubator fan for providing guidance for preventive maintenance.After that the failure data of the fan is preprocessed,the prior knowledge is used to model the failure data with Weibull distribution,and then the maximum likelihood method is used to estimate the model parameters and obtain the life distribution of the fan.Finally,the established model is applied to estimate the remaining useful life of the fan.The results reveal that the proposed method can be used to estimate the remaining use life of components,thereby guiding the predictive maintenance of medical equipments.
作者
缪吉昌
纪晓宏
王兆源
陈宏文
张斌
MIAO Jichang;JI Xiaohong;WANG Zhaoyuan;CHEN Hongwen;ZHANG Bin(Department of Medical Apparatus and Equipment,Nanfang Hospital,Southern Medical University,Guangzhou 510515,China;Department of Medical Quality Management,Nanfang Hospital,Southern Medical University,Guangzhou 510515,China;Office of General Services,Nanfang Hospital,Southern Medical University,Guangzhou 510515,China)
出处
《中国医学物理学杂志》
CSCD
2021年第9期1162-1167,共6页
Chinese Journal of Medical Physics
基金
国家重点研发计划(2019YFC0121900,2019YFC0121908)
广东省医学科研基金(A2020228)。
关键词
婴儿培养箱
剩余寿命预测
威布尔分布
医疗设备
预测性维护
可靠性生存模型
infant incubator
remaining useful life estimation
Weibull distribution
medical equipment
predictive maintenance
reliability survival model