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往复泵轴承故障诊断的神经网络方法
Neural Net Work Method of Reciprocating Pump Bearing Fault Diagnosis
【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.
【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.
【关键词】 往复泵;
轴承故障;
故障诊断;
BP网络;
【Key words】 reciprocating pump; bearing fault; trouble shooting; BP net work;
【Key words】 reciprocating pump; bearing fault; trouble shooting; BP net work;
- 【文献出处】 河西学院学报 ,Journal of Hexi University , 编辑部邮箱 ,2005年02期
- 【分类号】TE922
- 【被引频次】7
- 【下载频次】133