| 滚动轴承故障特征的时间—小波能量谱提取方法 |
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| 引用本文： | 张进,冯志鹏,褚福磊.滚动轴承故障特征的时间—小波能量谱提取方法[J].机械工程学报,2011,47(17). |
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| 作者姓名： | 张进 冯志鹏 褚福磊 |
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| 作者单位： | 1. 清华大学精密仪器与机械学系 北京 100084
2. 北京科技大学车辆工程研究所 北京 100083 |
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| 基金项目： | 国家自然科学基金(10702031,50705007); 北京市自然科学基金(3102022)资助项目 |
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| 摘 要： | 振动信号中的周期性冲击现象是诊断滚动轴承各元件故障的重要依据之一,针对滚动轴承故障特征,在小波变换理论基础上提出一种时间—小波能量谱信号处理方法,它能够有效地提取出振动信号中冲击成分的时域和频域特征。利用时间—小波能量谱方法分析正常、外圈故障、内圈故障、滚珠故障等四种状态下滚动轴承的振动信号,并与传统的包络解调分析方法进行对比分析。时间—小波能量谱不仅可以有效提取出冲击特征明显的滚动轴承外圈故障,还能提取出内圈、滚珠等信号特征微弱的滚动轴承故障,而包络解调分析方法只能提取出外圈故障特征而不能提取出滚珠故障、内圈故障特征。结果表明,时间—小波能量普比包络解调分析方法更能有效地提取出振动信号中的冲击信号成分。
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| 关 键 词： | 滚动轴承 故障诊断 小波变换 时间—小波能量谱 |
Extraction of Rolling Bearing Fault Feature Based on Time-wavelet Energy Spectrum |
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| ZHANG Jin,FENG Zhipeng,CHU Fulei.Extraction of Rolling Bearing Fault Feature Based on Time-wavelet Energy Spectrum[J].Chinese Journal of Mechanical Engineering,2011,47(17). |
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| Authors: | ZHANG Jin FENG Zhipeng CHU Fulei |
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| Affiliation: | ZHANG Jin 1 FENG Zhipeng 2 CHU Fulei 1(1.Department of Precision Instrument and Mechanology,Tsinghua University,Beijing 100084,2.Institute of Vehicular Engineering,University of Science and Technology Beijing,Beijing 100083) |
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| Abstract: | Periodic impulse in vibration signals is one of the key indicators to diagnose localized damage of bearing elements.A new method,so called time-wavelet energy spectrum,is proposed for rolling element bearing fault diagnosis.The feature of periodic impulses in both time domain and frequency domain can be extracted effectively by this method.This method is applied to analyzing the vibration signals of bearings under normal and faulty(with damage on outer race,inner race and ball respectively) statuses,and its... |
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| Keywords: | Rolling element bearing Fault diagnosis Wavelet transform Time-wavelet energy spectrum |
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