医疗设备故障的快速诊断方式及维修技术研究  

Research on Rapid Diagnostic Methods and Maintenance Technologies for Medical Equipment

作　　者：郝海颖 Hao Hai-ying(Cangzhou People's Hospital,Cangzhou 061000,Hebei Province,China)

机构地区：[1]沧州市人民医院,河北沧州061000

出　　处：《科学与信息化》2025年第7期61-63,共3页Technology and Information

摘　　要：医疗设备的稳定运行对医疗服务至关重要,快速故障诊断与高效维修可减少停机时间,提高设备可靠性。文章研究了基于传感器监测、机器学习预测和大数据分析的智能诊断技术,以及远程监控、预测性维护和自适应维修等创新维修方法。研究表明,这些技术可提升故障检测准确性,优化维护流程,降低运营成本,并延长设备寿命。智能化诊断与维修体系的应用将推动医疗设备管理向高效、智能化方向发展。The stable operation of medical equipment is crucial for medical services.Rapid fault diagnosis and efficient maintenance can reduce downtime and enhance equipment reliability.This paper investigates intelligent diagnostic technologies based on sensor monitoring,machine learning prediction,and big data analysis,as well as innovative maintenance methods such as remote monitoring,predictive maintenance,and adaptive repair.The study demonstrates that these technologies can improve the accuracy of fault detection,optimize maintenance processes,reduce operational costs,and extend equipment life.The application of intelligent diagnostic and maintenance systems will drive the development of medical equipment management towards higher efficiency and intelligence.

关 键 词：医疗设备 故障诊断 快速诊断 

分 类 号：R197.39[医药卫生—卫生事业管理]