| 基于小波熵的电机故障诊断 |
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| 引用本文： | 欧阳乾,谷爱昱.基于小波熵的电机故障诊断[J].数字社区&智能家居,2009,5(7):5322-5323. |
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| 作者姓名： | 欧阳乾 谷爱昱 |
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| 作者单位： | 广东工业大学自动化学院,广东广州510006 |
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| 摘 要： | 小波分析的方法为弱信号检测技术开辟了一条新途径，但小波变换对弱信号进行特征提取的关键在于确定小波系数的阈值．基于小波熵分析的方法能够在强噪声环境中对微弱信号准确定位，实现低能量的瞬变信号有效提取。仿真实验证明小波分析技术对电机声频故障诊断十分有效，有进一步的研究的必要，在电机的故障诊断方面小波有良好的应用前景。
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| 关 键 词： | 小波分析 小波熵 故障诊断 信号 阀值 |
Diagnose Fault of Electormotor Based on Wavelet Entropy |
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| OUYANG Qian,GU Ai-yu.Diagnose Fault of Electormotor Based on Wavelet Entropy[J].Digital Community & Smart Home,2009,5(7):5322-5323. |
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| Authors: | OUYANG Qian GU Ai-yu |
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| Affiliation: | (Colledge of Automotion Guangdong Umversity of Technology, Guangzhou 510006, China) |
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| Abstract: | Wavelet analysis method is a new approach in weak signal detection.But a key question is how to determine the threshold of wavelet coefficients when wavelet transform is used to extract important inform ation of weak signals.Weak signal can be accurately located based on the proposed wavelet entropy method in high--noise surroundings,and the extraction of low--power,transient signal Call be effectively realized.Simulatione experiment indicates wavelet analysis is apphed to diagnose audio faults of electromotor,and it is necessary to research wavelet more,Wavelet has good foreground to diagnose dectromotor in the fault diagnosis of electormotor. |
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| Keywords: | wavelt transform wavelet entropy diagnose fault signal threshold |
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