摘要
目的通过分析高频电刀的常规故障维修案例,建立模型进行同类故障再发生的预测,并进行预防性维护从而减少故障发生率。方法采用文献综述、案例分析、系统建模、仿真分析等方法,通过真实世界的故障案例,构建故障预测的仿真模型,利用模型预测故障的发生率与实际情况相对比,验证模型的有效性。而后,基于模型预测结果进行医疗设备全生命周期内的预防性维护,以降低故障发生率。结果研究结果表明,60台高频电刀的预测故障率为22.4%,实际上不符合质控标准的比例为25%,预测准确率为89.6%,模型验证有效,与实测结果差异无统计学意义(P=0.12)。结论本研究构建的预测模型的预测故障发生的准确率较高,预测结果对于预防性维护有指导作用。
Objective To analyze the routine maintenance cases of high-frequency electric knives,to establish a model to predict the recurrence of similar faults,and to carry out preventive maintenance to reduce the incidence of faults.Methods The study adopted methods such as literature review,case analysis,system modeling and simulation analysis to construct a simulation model for fault prediction based on real-world fault cases.The model was used to predict the occurrence rate of faults and compared with actual situations to verify the effectiveness of the model.Then targeted preventive maintenance was carried out based on the predicted results of the model to reduce the occurrence rate of faults.Results The research results showed that the predicting fault rate of 60 high-frequency electric knives was 22.4%,and the actual proportion that did not meet the quality control standards was 25%.The prediction accuracy was 89.6%,and the model validation was effective,and there was no statistical significance between the model and the measured results(P=0.12).Conclusion The prediction model constructed in this study has a high accuracy in predicting the occurrence of faults,and the prediction results can guide the preventive maintenance.
作者
聂涛
郑骏
冯靖祎
NIE Tao;ZHENG Jun;FENG Jingyi(Department of Medical Engineering and Supplies,The First Affiliated Hospital,Zhejiang University School of Medicine,Hangzhou Zhejiang 310000,China)
出处
《中国医疗设备》
2024年第12期171-177,共7页
China Medical Devices
基金
浙江省自然科学基金(LQ21H180009)。
关键词
高频电刀
故障维修
质量控制
故障发生率
预防性维护
输出功率
漏电流
high-frequency electric knife
faults maintenance
quality control
occurrence rate of faults
preventive maintenance
output power
leakage current
