节点文献

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

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【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.

  • 【分类号】R197.39
  • 【被引频次】2
  • 【下载频次】97
节点文献中: 

本文链接的文献网络图示:

本文的引文网络