• 论文 •    

重型装备故障诊断系统及其应用

甘屹,朱文博,李郝林   

  1. 上海理工大学 机械工程学院,上海200093
  • 出版日期:2010-10-15 发布日期:2010-10-25

Heavy equipment fault diagnosis system and its application

GAN Yi, ZHU Wen-bo, LI Hao-lin   

  1. College of Mechanical Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
  • Online:2010-10-15 Published:2010-10-25

摘要: 研究了从设备自带控制系统、主动布置关键性能参数传感器、人机交互等三个途径为重型装备故障诊断系统获取故障信息的方法。随着诊断系统中故障信息量的由少到多的变化,分别采用故障部位结构检索方法、相似案例检索方法对故障进行诊断,以提高诊断准确性和诊断效率。通过在重型装备故障诊断中的应用,验证了所研究的诊断系统的有效性。

关键词: 重型装备, 故障诊断, 结构检索, 案例检索

Abstract: Three ways to obtain fault information for heavy equipment fault diagnosis system was studied, such as the control system of the device, layout sensor to get the key performance parameters, and human-computer interaction. With the fault diagnosis system in the amount of information from less to more, the fault location structure retrieval method, similar case retrieval method were used to conduct fault diagnosis, which improved diagnostic accuracy and efficiency. This system was applied in the heavy equipment diagnosis system and the effectiveness of the diagnosis system was verified.

Key words: heavy equipment, fault diagnosis, structure retrieval, case retrieval

中图分类号: