| 基于自组织特征映射神经网络的汽轮机回热系统故障诊断 |
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| 引用本文： | 吴俊芬,胡念苏,赵瑜.基于自组织特征映射神经网络的汽轮机回热系统故障诊断[J].武汉大学学报(工学版),2003,36(4):99-102. |
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| 作者姓名： | 吴俊芬 胡念苏 赵瑜 |
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| 作者单位： | 武汉大学动力与机械学院,湖北,武汉,430072 |
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| 摘 要： | 提出应用自组织特征映射神经网络对汽轮机回热系统进行故障诊断,并利用MATLAB神经网络工具箱来实现.介绍了在实现过程中故障样本的提取、征兆参数的处理以及离线利用MATLAB进行网络训练等相关技术.实例仿真表明,该方法是一种可行有效的回热系统故障诊断方法.
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| 关 键 词： | 回热系统 故障诊断 神经网络 MATLAB |
| 文章编号： | 1671-8844(2003)04-099-04 |
Fault diagnosis of steam turbine regenerative system based on self-organizing neural network |
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| WU Jun\|fen,HU Nian\|su,ZHAO Yu.Fault diagnosis of steam turbine regenerative system based on self-organizing neural network[J].Engineering Journal of Wuhan University,2003,36(4):99-102. |
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| Authors: | WU Jun\|fen HU Nian\|su ZHAO Yu |
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| Abstract: | A fault diagnosis method of steam turbine regenerative system is proposed. It is based on self\|organizing neural network and implemented by the neural network toolbox in MATLAB. Some correlative techniques, such as the selection of samples, the treatment of symptom parameters and off\|line network training by MATLAB, are expounded. The simulation results indicate that the method is effective and feasible. |
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| Keywords: | regenerative system fault diagnosis neural network MATLAB |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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