| 基于小波包IRN网络的燃气轮机转子故障诊断 |
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| 引用本文： | 龚海鹏,宋华芬. 基于小波包IRN网络的燃气轮机转子故障诊断[J]. 燃气轮机技术, 2007, 20(4): 54-56 |
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| 作者姓名： | 龚海鹏 宋华芬 |
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| 作者单位： | 上海交通大学涡轮机研究所,上海,200030;上海交通大学涡轮机研究所,上海,200030 |
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| 摘 要： | 提出一种基于小波包和带有偏差单元的内部回归神经网络相结合的燃气轮机转子故障诊断方法。利用小波包分析去除噪声信号干扰,简化燃机转子故障特征提取。带有偏差单元的内部回归神经网络的记忆特性好,收敛速度快、稳定性强。小波包和带有偏差单元的内部回归神经网络的结合,大大提高了诊断速度及诊断准确性。
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| 关 键 词： | 燃气轮机 转子 小波包 IRN网络 故障诊断 |
| 文章编号： | 1009-2889（2007）04-0054-03 |
| 收稿时间： | 2007-03-26 |
| 修稿时间： | 2007-07-14 |
Fault diagnosis of gas turbine rotor based on wavelet packet and internal recurrent neural networks |
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| GONG Hai-peng,SONG Hua-fen. Fault diagnosis of gas turbine rotor based on wavelet packet and internal recurrent neural networks[J]. Gas Turbine Technology, 2007, 20(4): 54-56 |
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| Authors: | GONG Hai-peng SONG Hua-fen |
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| Abstract: | A method of gas turbine rotor fault diagnosis based on wavelet packet and internal recurrent neural network with partial cell was presented in this paper.The wavelet packet analysis was used to remove noise and simplify the abstraction of the fault characteristic of gas turbine rotor.This network possesses virtues of good memory,fast convergence ability and strongly stable capability.The combination of wavelet packet with IRN neural network with partial cell greatly improved the efficiency and veracity of diagnosis. |
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| Keywords: | gas turbine rotor wavelet packet IRN network fault diagnosis |
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