| ANN-DT混合建模法在机组水冷系统渗漏监测中的应用 |
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| 引用本文： | 陈勇强,刘开培,叶春松,马历.ANN-DT混合建模法在机组水冷系统渗漏监测中的应用[J].水力发电,2006,32(8):50-52. |
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| 作者姓名： | 陈勇强 刘开培 叶春松 马历 |
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| 作者单位： | 1. 武汉大学电气工程学院,湖北,武汉,430072
2. 武汉大学动力与机械学院,湖北,武汉,430072 |
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| 摘 要： | 发电机内冷水系统是发电机组安全运行的一个重要组成部分,其渗漏监测是在强干扰下弱信号的识别问题。针对多工况的运行环境,提出了一种决策树结合神经网络的混合建模方法,有效地对各种工况做出识别并剔除掉大的扰动因素,极大改善了诊断模型的泛化性能和动态辨识能力。这一混合策略为发电生产过程的在线监测和故障诊断问题提供了一种新的解决思路。
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| 关 键 词： | 水冷系统 渗漏监测 神经网络 决策树 混合建模 |
| 文章编号： | 0559-9342（2006）08-0050-03 |
| 收稿时间： | 2006-05-17 |
| 修稿时间： | 2006-05-17 |
Application of ANN-DT based Hybrid Modeling Approach to Leakage Detection of Water-cooling System of Generating Units |
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| Chen Yongqiang,Liu Kaipei,Ye Chunsong,Ma Li.Application of ANN-DT based Hybrid Modeling Approach to Leakage Detection of Water-cooling System of Generating Units[J].Water Power,2006,32(8):50-52. |
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| Authors: | Chen Yongqiang Liu Kaipei Ye Chunsong Ma Li |
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| Affiliation: | 1. Electrical Engineering School,Wuhan University, Wuhan Hubei 430072; 2. Power and Mechanical Engineering School,Wuhan University, Wuhan Hubei 430072 |
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| Abstract: | The water-cooling system is very important for the safe operation of generator. The water leakage detection of the system is typically a problem of weak signal extraction under strong disturbances. Considering the multi-course running environments, this paper puts forward a hybrid approach combining the artificial neural networks(ANN) method and the decision tree(DT) method. It can effectively recognize current operation mode and remove some disturbances which improves the model's ability of generalization and dynamic recognition greatly. The hybrid strategy provides a new solution to the problem of condition monitoring and fault diagnosis in the course of power generation. |
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| Keywords: | water cooling system leakage detection neural networks decision tree hybrid modeling |
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