| 往复泵轴承故障诊断的神经网络方法 |
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| 引用本文： | 张雷涛. 往复泵轴承故障诊断的神经网络方法[J]. 河西学院学报, 2005, 21(2): 96-98 |
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| 作者姓名： | 张雷涛 |
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| 作者单位： | 兰州师范高等专科学校工学系,甘肃,兰州,730070 |
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| 摘 要： | 研究了基于BP网络的往复泵轴承故障诊断方法.利用频域和倒频域进行特征提取,采用集成BP网络进行故障诊断和识别,解决了往复泵轴承故障特征提取困难、多故障识别困难的问题.试验结果表明,利用BP网络可以有效地诊断与识别往复泵轴承多故障模式,并且具有很高的成功率.
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| 关 键 词： | 往复泵 轴承故障 故障诊断 BP网络 |
Neural Net Work Method of Reciprocating Pump Bearing Fault Diagnosis |
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| ZHANG Lei-tao. Neural Net Work Method of Reciprocating Pump Bearing Fault Diagnosis[J]. Journal of Hexi University, 2005, 21(2): 96-98 |
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| Authors: | ZHANG Lei-tao |
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| Abstract: | This article studies the method of bearing trouble-shooting of reciprocating pump based on BP net work. The feature is extracted by using frequency and mel-frequency. Trouble-shooting and distinguishing are done by using integration BP net work. The difficulties of bearing fault feature extraction and of distinguishing multi-faults have been soled out in reciprocating pump. The experimental results have proved that BP network can efficiently diagnose and distinguish the multi-faults of bearing in reciprocating pump, and the successful rate is high. |
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| Keywords: | reciprocating pump bearing fault trouble shooting BP net work |
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