Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Machine Tool & Hydraulics》 2006-03
Add to Favorite Get Latest Update

Status Quo and Development Tendency of Remote Intelligent Fault Diagnosis Technology

JIANG Wanlu,CHENG Xiaosheng,CHEN Dongning(College of Mechanical Engineering,Yanshan University,Qinhuangdao Heibei 066004,China)  
The system structures of the remote fault diagnosis system and the intelligent fault diagnosis technologies were researched,and its key technologies were expatiated.The system structures include C/S,B/S and mixing of them.The intelligent fault diagnosis methods include the artificial neural network,the fuzzy inference,the genetic algorithm and the diagnosis agent.The distributed data processing,the database,the virtual reality,the information processing and the information fusion technologies were expatiated in the key technology part.The development tendency of remote intelligent fault diagnosis technology was pointed out.
【Fund】: 教育部高等学校骨干教师资助计划项目(教科司[2000]65号);; 河北省教育厅博士基金资助项目(B2004128)
【CateGory Index】: TP277
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved