Application of intelligent fault diagnosis technology in NC machine tool fault diagnosis

摘要：

The paper takes NC machine as object, mainly introduced the reasoning mechanism of NC machine tool fault diagnosis, namely, RBR and CBR coordinated operation diagnosis mechanism. Rules, cases and feature data are separately stored in the database combined with the structure and functions of NC machine tool. Rules are summarized from cases, and take diagnostic reasoning under the help of RBF cloud-neural network, which overcomes the shortcoming of hard access ,and rules also as a guider in case reasoning on the other hand ,which makes* the fault fast positioned, improves the efficiency of diagnosis .At last , the paper takes JSP as development technology, Spring + hibernate + Struts2 as a framework, developed B/S NC machine tool failure diagnosis system .which has better diagnostic capabilities

关键词： NC machine tool failure diagnosis RBR_CBR cloud-neural network

作者: Jiao Wang Meiling QI

作者单位: Software Institute Dalian Jiaotong University,Dalian, China

会议类型: 国际会议

会议名称: 2011 International Conference on Electronics and Optoelectronics(2011电子学与光电子学国际会议 ICEOE 2011)

会议地点: 大连

会议语种:英文

页码: 1340-1343

在线出版日期: 2011-07-29（万方平台首次上网日期，不代表论文的发表时间）