| 声信号分析方法在轴承故障诊断中的应用 |
| |
| 引用本文： | 张武军, 徐金梧, 杨德斌, 周艳玲, 王海峰. 声信号分析方法在轴承故障诊断中的应用[J]. 工程科学学报, 2002, 24(1): 58-60. DOI: 10.13374/j.issn1001-053x.2002.01.045 |
| |
| 作者姓名： | 张武军 徐金梧 杨德斌 周艳玲 王海峰 |
| |
| 作者单位： | 1.北京科技大学机械工程学院, 北京 100083 |
| |
| 摘 要： | 由于轴承故障声信号的混响及临近的机械设备的噪声，造成声信号的频域分析很困难．通过小波变换原理，对滚动轴承故障声信号进行时频分析．通过对声信号的多尺度分解，分离出由故障造成的声信号突变．实验结果表明，较之以往的时域、频域信号处理技术，该方法对声音信号分解更趋合理，是一种可靠和有效的滚动轴承故障诊断新方法．
|
| 关 键 词： | 声信号 故障诊断 小波变换 滚动轴承 |
| 收稿时间： | 2001-04-02 |
Machine Sound Using Wavelet and Application in Rolling Bearing Fault Diagnosis |
| |
| ZHANG Wujun, XU Jinwu, YANG Debin, ZHOU Yanling, WANG Haifeng. Machine Sound Using Wavelet and Application in Rolling Bearing Fault Diagnosis[J]. Chinese Journal of Engineering, 2002, 24(1): 58-60. DOI: 10.13374/j.issn1001-053x.2002.01.045 |
| |
| Authors: | ZHANG Wujun XU Jinwu YANG Debin ZHOU Yanling WANG Haifeng |
| |
| Affiliation: | 1.Mechanical Engineering School, UST Beijing Beijing 100083, China |
| |
| Abstract: | Machine sound always carries information about the working of the machine. But in many cases, the sound has a very low SNR, so it is very difficult to make time-frequency analyse of sound signal. A denoising method based on wavelet technology is given. Based on wavelet decomposition, sound signal caused by mechanical diagnosis can be separated. Experimentation tests that this is an effective method to diagnose fault of rolling bearing comparing with other fault diagnosis methods. |
| |
| Keywords: | sound signal fault diagnosis wavelet rolling bearing |
|
| 点击此处可从《工程科学学报》浏览原始摘要信息 |
|
点击此处可从《工程科学学报》下载全文 |
