| 基于改进弹性BP算法神经网络转子故障诊断 |
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| 引用本文： | 郭文忠,黄元生. 基于改进弹性BP算法神经网络转子故障诊断[J]. 燃气轮机技术, 2009, 22(1): 61-65 |
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| 作者姓名： | 郭文忠 黄元生 |
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| 作者单位： | 华北电力大学工商管理学院,保定,071003;华北电力大学工商管理学院,保定,071003 |
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| 摘 要： | 为精确诊断转子故障,以转子故障模拟实验台的实测数据为研究对象,采用基于小波包能量特征向量提取的信号特征值作为网络的学习样本,采用改进弹性BP算法训练网络研究转子的振动状态。为神经网络在转子故障诊断领域更深入广泛的应用提供可参考的思路和方法。
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| 关 键 词： | 神经网络 转子 故障诊断 弹性BP算法 |
Fault diagnosis of rotor based on improved models of resilient back-propagation neural network |
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| GUO Wen-zhong,HUANG Yuan-sheng. Fault diagnosis of rotor based on improved models of resilient back-propagation neural network[J]. Gas Turbine Technology, 2009, 22(1): 61-65 |
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| Authors: | GUO Wen-zhong HUANG Yuan-sheng |
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| Affiliation: | GUO Wen - zhong , HUANG Yuan - sheng (School of Business Administration, North China Electric Power University; Baodlng 071003, China) |
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| Abstract: | In order to diagnose the rotor fanlt precisely, a deeply resereh is carried out on experimental data which based on rotor bedstead , this paper applies signal features as the learning samples which based on wavelet packet energy cigenvector, adopts the progressed resLlient hack propagation neural network as a method to research the rotor vibrational state, the trained network can exactly diagnose the rotor fault, it can of- fer a dependable method and thinking. |
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| Keywords: | neural network rotor faalt diagnosis resilient hack - propagation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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