首页> 外文会议>2010 Second Pacific-Asia Conference on Circuits,Communications and System >Fault diagnosis of air-conditioning fan based on RBF neural networks algorithm
【24h】

Fault diagnosis of air-conditioning fan based on RBF neural networks algorithm

机译:基于RBF神经网络算法的空调风机故障诊断

获取原文

摘要

In order to overcome the problems of slow rate of convergence, falling easily into local minimum and instability of learning performance caused by initial value in BP algorithm, the diagnosis method based on RBF neural networks was proposed. And the diagnosis method is applied to air-conditioning fan fault diagnosis. The result shows that RBF network has very high learning convergence speed and better classifying performance. RBF network has good practicality in the field of equipment fault diagnosis.
机译:针对BP算法收敛速度慢,容易陷入局部极小和初始值导致学习性能不稳定的问题,提出了一种基于RBF神经网络的诊断方法。并将该诊断方法应用于空调风机的故障诊断。结果表明,RBF网络具有很高的学习收敛速度和更好的分类性能。 RBF网络在设备故障诊断领域具有良好的实用性。

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