首页> 外文会议>2011 International Conference on Electronics and Optoelectronics >Application of intelligent fault diagnosis technology in NC machine tool fault diagnosis
【24h】

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

机译:智能故障诊断技术在数控机床故障诊断中的应用

获取原文

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
机译:本文以数控机床为对象,主要介绍了数控机床故障诊断的推理机制,即RBR和CBR协同运行诊断机制。规则,案例和特征数据与NC机床的结构和功能一起单独存储在数据库中。规则从案例中总结出来,并在RBF云神经网络的帮助下进行诊断推理,克服了硬访问的缺点,另一方面,规则也作为案例推理的指导,使得故障的快速定位,改善诊断的效率。最后以JSP为开发技术,以Spring + hibernate + Struts2为框架,开发了具有较好诊断能力的B / S数控机床故障诊断系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号