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基于小波分析的航空发动机轴承故障诊断

Fault Diagnosis of Aero-engine Main Shaft Bearings Based on Wavelet Analysis

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【作者】 韩磊程礼苗学问

【Author】 HAN Lei1,CHENG Li2,MIAO Xue-wen1(1.School of Jet Propulsion,Beijing University of Aeronautics and Astronautics,Beijing 100083,China;2.Engineering Institute,Air Force Engineering University,Xi’ an 710038,China)

【机构】 北京航空航天大学能源与动力工程学院空军工程大学工程学院

【摘要】 针对常规方法难以准确分析非平稳信号的局限性,采用小波变换快速有效地对滚动轴承振动信号进行带通滤波。通过选用多尺度的小波变换,能较好地分离出所要分析的高频固有振动信号,然后对高频振动信号进行包络分析,从包络谱图中提取故障特征频率分量,准确诊断出滚动轴承发生故障的元件。

【Abstract】 If using conventional method for the vibration signal analysis,the non-stationary signals are hard to analyze,and the band-pass filter can be done fast and effectively in processing the vibration signal of rolling bearing.The high-frequency inherent vibration signal is separated quite well with multi-scale wavelet transform.Then an envelope analysis is made to the high-frequency vibration signal.The fault of rolling bearing component is diagnosed by extracting fault feature from envelop frequency spectrum figure.

  • 【分类号】TH133.33
  • 【被引频次】19
  • 【下载频次】414
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