| 运用RBF神经网络的制粉系统故障诊断 |
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| 引用本文： | 赵刚,于向军,吕震中,苏志刚,王茂贵.运用RBF神经网络的制粉系统故障诊断[J].发电设备,2006,20(6):449-453. |
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| 作者姓名： | 赵刚 于向军 吕震中 苏志刚 王茂贵 |
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| 作者单位： | 东南大学,动力工程系,江苏,南京,210096 |
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| 摘 要： | 制粉系统作为热力发电厂非常重要的子系统之一,其运行状况在一定程度上决定了电厂的经济性。由于制粉系统的复杂性,对其运行状态的判断非常困难。运用RBF神经网络来对制粉系统进行故障诊断,可使运行人员对当前制粉系统运行状况有所了解。
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| 关 键 词： | 自动控制 发电厂 制粉系统 故障诊断 RBF神经网络 |
| 文章编号： | 1671-086X(2006)06-0449-05 |
| 收稿时间： | 2006-01-20 |
| 修稿时间： | 2006年1月20日 |
Diagnosis with RBF Neural Networks of Faults Occurring in Pulverizing Systems |
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| ZHAO Gang,YU Xiang-jun,LU Zhen-zhong,SU Zhi-gang,WANG Mao-gui.Diagnosis with RBF Neural Networks of Faults Occurring in Pulverizing Systems[J].Power Equipment,2006,20(6):449-453. |
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| Authors: | ZHAO Gang YU Xiang-jun LU Zhen-zhong SU Zhi-gang WANG Mao-gui |
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| Affiliation: | Faculty of Power Engineering, South-East University, Nanjing 210096, China |
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| Abstract: | The state of operation of pulverizing systems,which are one of the important systems in a power plant,have,to a certain degree,a decisive influence on the plant's profitability.Because of its complexity,it is quite difficult to judge whether a pulverizing system is in a satisfactory state of operation.Application of RBF neural networks for diagnosing faults in pulverizing systems can make operators sense the present state of operation of pulverizing systems. |
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| Keywords: | automatic control power plant pulverizing system fault diagnosis RBF neural network |
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