滚动轴承非接触式声学故障诊断方法研究及应用 - 声学技术.pdf

第 28 卷第 1 期 声 学 技 术 Vol.28, No.1 2009 年 2 月 Technical Acoustics Feb., 2009 滚动轴承非接触式声学故障诊断方法研究及应用 1 2 2 2 于江林 ，戴 光 ，王美波 ，余永增 （1.大庆炼化公司，黑龙江大庆 163411 ；2.大庆石油学院，黑龙江大庆 163318 ） 摘要：基于非接触式声学诊断方法，以滚动轴承人工缺陷为对象进行试验测试，通过统计参量分析，对滚动轴承有 无故障进行判断，并对轴承声学信号传播特性进行了研究。分别用与特征频率密切相关的触发数，小波包分析与 BP 神经网络结合两种分析方法对故障模式进行识别，提高了轴承故障诊断的有效性和准确性。 关键词：滚动轴承；故障诊断；声学；非接触式 中图分类号：TB556 文献标识码：A 文章编号：1000-3630(2009)-01-0034-05 Research on non-contacting acoustics fault diagnosis method and application to rolling bearing 1 2 2 2 YU Jiang-lin , DAI Guang , WANG Mei-bo ,YU Yong-zeng (1. Daqing Refining Petrochemica Company, Daqing 163411, Heilongjiang, China ； 2. Daqing Petroleum Insititute, Heilongjiang Daqing 163318, Heilongjiang, China ） Abstract: Based on the non-contacting acoustics method, some experiments are made on rolling bearings with con- trived failure. Through analysis of statistical parameters, the fault of bearing can be judged. And the propagation cha- racteristics of acoustic signal is studied. By respectively utilizing the two methods, i.e. the triggering number related to characteristic frequency and the wavelet packet analysis associated with BP neural network, to identify the condition and fault pattern of bearings, the validity and the accuracy of bearings fault diagnosis can be enhanced. Key words: rolling bearing; fault diagnosis; acoustics; non-contacting 接触式声学检测方法对滚动轴承外圈、滚动体以及 1 概 述 二者组成的混合缺陷进行故障诊断研究，为现场检