| 基于连续小波变换的信号检测技术与故障诊断 |
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| 引用本文： | 林京,屈梁生.基于连续小波变换的信号检测技术与故障诊断[J].机械工程学报,2000,36(12):95-100. |
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| 作者姓名： | 林京 屈梁生 |
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| 作者单位： | 1. 中国科学院声学研究所声场声信息国家重点实验室北京100080
2. 西安交通大学 |
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| 摘 要： | 通过分析指出，连续小波变换具有很强的弱信号检测能力，非常适合故障诊断领域。从参数离散到参数优化系统研究了连续小波变换的工程应用方法，建立了“小波熵”的概念，并以此作为基小波参数的择优标准。论文最后把连续小波技术应用在滚动轴承滚道缺陷和齿轮裂纹的识别中，诊断效果十分理想。
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| 关 键 词： | 小波故障诊断滚动轴承齿轮 |
| 修稿时间： | 1999年11月8日 |
FEATURE DETECTION AND FAULT DIAGNOSIS BASED ON CONTINUOUS WAVELET TRANSFORM |
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| Lin Jing,Qu Liangsheng.FEATURE DETECTION AND FAULT DIAGNOSIS BASED ON CONTINUOUS WAVELET TRANSFORM[J].Chinese Journal of Mechanical Engineering,2000,36(12):95-100. |
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| Authors: | Lin Jing Qu Liangsheng |
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| Abstract: | it is pointed out that continuous wavelet transform (CWT) has powerful ability for weak signal detection which help itself to be used for fault diagnosis. The method for parameter discretization and optimization of CWT is estabished. The concept of wavelet entropy is introduced and it is used as a rule for parameter optimization. In the end, CWT is ed for fault diagnosis of rolling bearing and sear-for. Very good results are obtained using this method. |
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| Keywords: | Wavdet Fault diagnosis Rolling bearing Gear |
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