| 改进的BP网络在凝汽器故障诊断中应用 |
| |
| 引用本文： | 张利平,王伟峰,唐德善.改进的BP网络在凝汽器故障诊断中应用[J].热力发电,2004,33(3):50-52. |
| |
| 作者姓名： | 张利平 王伟峰 唐德善 |
| |
| 作者单位： | 1. 河海大学,江苏,南京,210098
2. 国电热工研究院,陕西,西安,710032 |
| |
| 摘 要： | 针对BP网络学习收敛速度慢和易陷入局部最小点的不足，提出了一种恒误差修正率控制的网络学习率自适应调整方法。将这种改进的BP网络算法应用于凝汽设备故障诊断中，在1台300MW机组上取得了实效。
|
| 关 键 词： | 汽轮机 凝汽器 故障诊断 BP网络 神经网络 |
| 文章编号： | 1002-3364(2004)03-0050-03 |
| 修稿时间： | 2003年7月20日 |
APPLICATION OF IMPROVED BP NEURON NETWORK IN CONDENSER FAULT DIAGNOSIS |
| |
| ZHANG LIping,WANG Waifeng,TANG Deshan.APPLICATION OF IMPROVED BP NEURON NETWORK IN CONDENSER FAULT DIAGNOSIS[J].Thermal Power Generation,2004,33(3):50-52. |
| |
| Authors: | ZHANG LIping WANG Waifeng TANG Deshan |
| |
| Abstract: | In view of low speed selflearning convergence concerning back propagation(BP) neuron network, and the said network being easily in insufficient of partial lowest points, a method of adaptive adjustment for the network selflearning rate controlled by correction rate of constant error has been put forword. This improved BP network has been used in condenser fault dragnosis, and obtaning practical effectiveness on a 300 MW unit. |
| |
| Keywords: | BP neuron network condenser fault dignosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
