[1]缪吉昌,纪晓宏,王兆源,等.基于威布尔分布的婴儿培养箱关键部件的剩余寿命预测[J].中国医学物理学杂志,2021,38(9):1162-1167.[doi:10.3969/j.issn.1005-202X.2021.09.021]
 MIAO Jichang,JI Xiaohong,WANG Zhaoyuan,et al.Estimation of the remaining useful life of critical component of infant incubator based onWeibull distribution[J].Chinese Journal of Medical Physics,2021,38(9):1162-1167.[doi:10.3969/j.issn.1005-202X.2021.09.021]
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基于威布尔分布的婴儿培养箱关键部件的剩余寿命预测()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
38卷
期数:
2021年第9期
页码:
1162-1167
栏目:
医学放射物理
出版日期:
2021-09-26

文章信息/Info

Title:
Estimation of the remaining useful life of critical component of infant incubator based on Weibull distribution
文章编号:
1005-202X(2021)09-1162-06
作者:
缪吉昌1纪晓宏2王兆源1陈宏文1张斌3
1. 南方医科大学南方医院设备器材科,广东广州510515;2. 南方医科大学南方医院医疗质量管理科,广东广州510515;3. 南方 医科大学南方医院总务处,广东广州510515
Author(s):
MIAO Jichang1 JI Xiaohong2 WANG Zhaoyuan1 CHEN Hongwen1 ZHANG Bin3
1. Department of Medical Apparatus and Equipment, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China 2. Department of Medical Quality Management, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China 3. Office of General Services, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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
Keywords:
infant incubator remaining useful life estimation Weibull distribution medical equipment predictive maintenance reliability survival model
分类号:
R318;TB114.3
DOI:
10.3969/j.issn.1005-202X.2021.09.021
文献标志码:
A
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。
Abstract:
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.

备注/Memo

备注/Memo:
【收稿日期】2021-07-05 【基金项目】国家重点研发计划(2019YFC0121900, 2019YFC0121908); 广东省医学科研基金(A2020228) 【作者简介】缪吉昌,硕士,主要研究方向:医疗器械的可靠性,E-mail: lzjxh@i.smu.edu.cn
更新日期/Last Update: 2021-09-27