| 煤矿通风机故障诊断的小波包方法 |
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| 引用本文： | 任志玲,付华,尹丽娜.煤矿通风机故障诊断的小波包方法[J].辽宁工程技术大学学报(自然科学版),2009,28(4). |
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| 作者姓名： | 任志玲 付华 尹丽娜 |
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| 作者单位： | 辽宁工程技术大学电气工程系,辽宁,阜新,123000 |
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| 基金项目： | 辽宁省自然科学基金资助项目，辽宁省高校创新团队基金资助项目，辽宁省高校优秀人才基金资助项目 |
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| 摘 要： | 针对常用的时域和频域分析在诊断通风机故障时存在不能同时诊断出故障时间和类型的瓶颈问题,提出基于小波包分解的煤矿通风机故障诊断方法.在分析通风机故障特征的基础上,利用时频两域都具有表征信号特征能力的小波,对采集来的通风机振动信号进行小波包分解,利用分解的小波系数,在各个频段上进行小波信号重构,并计算信号各个频段的能量特征值,提取故障特征,诊断故障发生的时间和故障类型.经实际验证,小波包分解能将故障信号有效的划分到不同的频段内,而且时域和频域局部化特性好,能有效的诊断出通风机故障,具有良好的理论意义与工程应用价值.
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| 关 键 词： | 小波包 通风机 故障诊断 |
Wavelet packet method for fault diagnosis on ventilator in coal mines |
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| REN Zhiling,FU Hua,YIN Lina.Wavelet packet method for fault diagnosis on ventilator in coal mines[J].Journal of Liaoning Technical University (Natural Science Edition),2009,28(4). |
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| Authors: | REN Zhiling FU Hua YIN Lina |
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| Institution: | REN Zhiling,FU Hua,YIN Lina (Department of Electrical Engineering,Liaoning Technical University,Fuxin 123000,China) |
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| Abstract: | It is difficult to diagnose the time of faults occurrence and the type of faults in a coal mine ventilator at the same time using conventional time domain and frequency domain analysis methods. A new method of fault diagnosis for a coal mine ventilator is proposed in this paper,which is based on wavelet packet decomposition. Based on the analysis of ventilator's fault characteristics,the vibration signal is decomposed into wavelet packet using the common signal characteristics in both time domain and freque... |
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| Keywords: | wavelet packet ventilator fault diagnosis |
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