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基于人工神经网络的医疗设备故障诊断研究
Study on the Failure Diagnosis of Medical Equipments Based on Artificial Neural Network
【摘要】 医疗设备的故障十分复杂 ,快速有效的诊断非常重要。本文以益鸟 4 0 2型超声雾化器为研究对象 ,建立了其故障逻辑判断图 ,利用人工神经网络 ,构建了设备故障诊断的专家系统。应用表明该方法的有效性
【Abstract】 Failure diagnosis of medical equipments is very complicated, and fast and effective diagnosis is very important. In the paper, with the ultrasonic wave atomizer as the study object, the failure diagnosis expert system of atomizer is established by means of artificial neural network. The application demonstrates the effectiveness of the system.
【关键词】 医疗设备;
故障检测;
人工神经网络;
专家系统;
【Key words】 medical equipment; failure diagnosis; artificial neural network; expert system;
【Key words】 medical equipment; failure diagnosis; artificial neural network; expert system;
- 【文献出处】 现代机械 ,Modern Machinery , 编辑部邮箱 ,2004年05期
- 【分类号】R197.39
- 【被引频次】2
- 【下载频次】97