| 神经网络在大型回转机械故障诊断中的应用 |
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| 引用本文： | 陈岳东,屈梁生.神经网络在大型回转机械故障诊断中的应用[J].西安交通大学学报,1992,26(4):53-60. |
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| 作者姓名： | 陈岳东 屈梁生 |
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| 作者单位： | 西安交通大学机械工程系
(陈岳东)，西安交通大学机械工程系(屈梁生) |
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| 摘 要： | 利用人工神经网络对大型回转机械中的常见故障进行分类和识别。首先讨论了如何从现场故障振动信号中提取故障特征;然后利用一个隐层的BP网络对故障特征进行训练,在训练信息不完备的情况下,就神经网络对组合故障的出现进行了计算,最后利用工厂实际数据进行比较和验算,结果令人满意。
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| 关 键 词： | 神经网络 故障诊断 转子机械 |
THE APPLICATION OF ARTIFICIAL NEURAL NETWORK TO THE FAULT DIAGNOSIS OF LARGE ROTATING MACHINERY |
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| Chen Yuedong,Qu Liangsheng.THE APPLICATION OF ARTIFICIAL NEURAL NETWORK TO THE FAULT DIAGNOSIS OF LARGE ROTATING MACHINERY[J].Journal of Xi'an Jiaotong University,1992,26(4):53-60. |
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| Authors: | Chen Yuedong Qu Liangsheng |
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| Institution: | Chen Yuedong;Qu Liangsheng Department of Mechanical Engineering |
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| Abstract: | In this paper, vibrational fault signals are used as training samples. Firstly, the paper discusses
how to extract the features from the field data which are the inputs of the network, then these features
are trained by BP network. When new fault combination happens, the neural network has strong gen-
eralization ability. In the end, field data are used to test the neural network and satisfactory results
have been acquired. |
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| Keywords: | artifical neural network fault diagnosis rotating machinery pattern recognition |
| 本文献已被 CNKI 维普 等数据库收录！ |
