融合PSO算法与模糊决策的CT扫描床预防性维修周期模型研究  

Study on preventive maintenance cycle model of CT scanning bed based on PSO algorithm and fuzzy decision

作　　者：朱杰 周艳丽 郝玉凤 Zhu Jie;Zhou Yanli;Hao Yufeng(Department of Imaging,Lianyungang Oriental Hospital,Jiangsu Lianyungang,222300,China)

机构地区：[1]连云港市东方医院影像科,江苏连云港222300

出　　处：《机械设计与制造工程》2024年第11期133-138,共6页Machine Design and Manufacturing Engineering

基　　金：江苏省南京市卫生科技发展项目管理类课题(GBX21341)。

摘　　要：为提高对CT设备工作状态的预测效率,从而帮助医院采取合理有效的预防性维修策略,设计了一种CT扫描床预防性维修周期模型,用于预测CT球管的使用寿命。通过PSO算法优化该模型,引入模糊决策对CT扫描床的故障进行预测。结果表明,该模型故障预测的平均绝对误差与平均绝对百分比误差较其他模型均要小,分别为0.065和0.71%。该模型显著提升了CT扫描床预防性维修的预测效果。A preventive maintenance cycle model of CT scanning bed is designed to predict the service life of CT bulb in order to improve the efficiency of predicting the working state of CT equipment and help hospitals adopt reasonable and effective preventive maintenance strategies.The model is optimized by PSO algorithm,and fuzzy decision is introduced to predict the fault of CT scanning bed.The results show that the mean absolute error and mean absolute percentage error of this model are smaller than those of other models,which are 0.065 and 0.71% respectively.This model significantly improves the predictive effect of CT scanning bed preventive maintenance.

关 键 词：计算机断层扫描 粒子群优化算法 模糊决策 马尔科夫链模型 故障 

分 类 号：R318.6[医药卫生—生物医学工程]