| 引用本文: | 李圣怡,c.James Li.声发射分析用于轴承状态监测的研究.[J].国防科技大学学报,1991,13(3):56-61.[点击复制] |
| Li Shengyi,c.James Li.Acoustic Emission Analysis for Research of Bearing Condition Detection[J].Journal of National University of Defense Technology,1991,13(3):56-61[点击复制] |
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| 声发射分析用于轴承状态监测的研究 |
| 李圣怡1, c.James Li2 |
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(1.精密机械与仪器系;2.哥伦比亚大学机械系)
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| 摘要: |
| 为了对轴承局部损伤进行自动检测与诊断，本文对声发射分析的新方法进行了探讨。损伤的特征量由短时信号处理技术来提取，用模式识别技术进行分析，用散布矩阵进行评价。实验和分析的结果表明这种新方法优于振动分析法。 |
| 关键词: 声发射，轴承，监控，模式识别 |
| DOI： |
| 投稿日期：1990-07-05 |
| 基金项目: |
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| Acoustic Emission Analysis for Research of Bearing Condition Detection |
| Li Shengyi1, c.James Li2 |
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(1.Department of Precision Mechinery and Instrument;2.Department of Precision Mechinery and Instrument)
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| Abstract: |
| For automatic detection and diagnosis of localized defects in bearings，a new way by means of acoustic emission (AE) analysis is investigated in this paper. Feature of defects is extracted by short-time signal processing techniques，analysed by pattern recognition and evaluated by scattering matrices. The experimental and analysis results show that this new way is better than the vibration analysis method. |
| Keywords: acoustic eminssions,bearing,monitoring,pattern recognition |
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