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諧波小波包自適應(yīng)分解在故障診斷中的應(yīng)用
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    摘要:

    將諧波小波包與匹配追蹤方法相結(jié)合,提出了諧波小波包自適應(yīng)分解的新方法,。根據(jù)信號特征自適應(yīng)選擇諧波小波包字典內(nèi)的時頻原子,,可以將非平穩(wěn)振動信號既不交疊又無遺漏地分解到相互獨立的頻帶上去,算法實現(xiàn)簡單,,頻率分辨率好,。通過仿真算例將該法與小波包變換,、小波包追蹤結(jié)果相比較,驗證了該方法時頻定位性好的優(yōu)越性,。將該方法應(yīng)用于軸承和轉(zhuǎn)子的故障診斷,,結(jié)果表明,故障特征提取是有效的,。

    Abstract:

    Combined harmonic wavelet packet with matching pursuit, an adaptive decomposing method was presented. In the proposed method, the time-frequency atoms could be adaptively selected from the harmonic wavelet packet dictionary. Non-stationary signal could be decomposed into a number of independent frequency sub-bands and the frequency overlapping and leakage was avoided. The proposed algorithm is simple and has good resolution. The simulation results showed that the proposed approach is superior to the wavelet packet transform and matching pursuit based on wavelet packet. At last, the proposed method has been applied to the fault diagnosis of bearing and rotor system, the experiment result showed the proposed method is effective.

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王勝春,韓捷,李志農(nóng),李劍峰.諧波小波包自適應(yīng)分解在故障診斷中的應(yīng)用[J].農(nóng)業(yè)機械學(xué)報,2007,38(10):174-177.[J]. Transactions of the Chinese Society for Agricultural Machinery,2007,38(10):174-177.

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