首页> 外文会议>International Conference on Mechanical Engineering and Technology >APPLICATION OF IMPROVED WAVELET NEURAL NETWORK TO FAULT DIAGNOSIS OF PUMPING WELLS
【24h】

APPLICATION OF IMPROVED WAVELET NEURAL NETWORK TO FAULT DIAGNOSIS OF PUMPING WELLS

机译:改进的小波神经网络在泵浦井故障诊断中的应用

获取原文

摘要

The paper introduced an improved wavelet neural network model based on the certain link between signs and failure of pumping wells. We increased the part of the direct connection between input and output node, and highlighted the con-elation of signs input and fault output. The experiment results show that using the improved wavelet neural network for fault diagnosis of pumping wells will greatly enhance the accuracy and speed of pumping wells fault diagnosis.
机译:本文介绍了一种改进的小波神经网络模型,基于泵浦井的迹象与失效之间的某些联系。我们增加了输入和输出节点之间的直接连接的一部分,并突出显示了符号输入和故障输出的配置。实验结果表明,使用改进的小波神经网络用于泵送井的故障诊断将大大提高泵送井故障诊断的准确性和速度。

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