|
|||||
|
|
| 基于RBF网络的汽轮发电机组故障诊断 | |
| 引用本文： | 周建萍,杨旭红,郑应平.基于RBF网络的汽轮发电机组故障诊断[J].上海电力学院学报,2009,25(1):7-9. |
| 作者姓名： | 周建萍 杨旭红 郑应平 |
| 作者单位： | 1. 上海电力学院,电力与自动化工程学院,上海,200090;同济大学,电子与信息工程学院,上海,200092 2. 上海电力学院,电力与自动化工程学院,上海,200090 3. 同济大学,电子与信息工程学院,上海,200092 |
| 基金项目： | 上海高校选拔培养优秀青年教师科研专项基金，上海市重点学科建设项目 |
| 摘 要： | 针对电厂汽轮发电机组故障诊断问题，设计了RBF网络故障诊断系统．根据输入特征向量进行RBF网络的学习，并将RBF网络诊断故障的方法成功地应用于汽轮发电机组故障诊断．仿真结果表明：RBF网络比BP网络更稳定，训练误差更小。 |
| 关 键 词： | RBF网络 故障诊断 汽轮发电机组 |
| 收稿时间： | 2008/6/19 0:00:00 |
Fault Diagnosis of Turbo-generator Unit Based on RBF Network |
|
| ZHOU Jian-ping,YANG Xu-hong and ZHENG Ying-ping.Fault Diagnosis of Turbo-generator Unit Based on RBF Network[J].Journal of Shanghai University of Electric Power,2009,25(1):7-9. | |
| Authors: | ZHOU Jian-ping YANG Xu-hong and ZHENG Ying-ping |
| Affiliation: | 1.School of Electric Power & Automation Engineering;Shanghai University of Electric Power;Shanghai 200090;China;2.School of Electronics & Information Engineering;Tongji University;Shanghai 200092;China |
| Abstract: | RBF network is presented to solve the problem of fault diagnosis for turbo-generator units.RBF network is trained according to input character vectors.Finally,the trained RBF network diagnoses the fault.The proposed method is successfully used to diagnose the fault of turbo-generator units.The simulation result proves that RBF network is more stable and accurate than BP network. |
| Keywords: | RBF network fault diagnosis turbo-generator units |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
| 点击此处可从《上海电力学院学报》浏览原始摘要信息 | |
| 点击此处可从《上海电力学院学报》下载全文 | |
