【摘要】：針對(duì)噪聲影響下時(shí)變諧波檢測(cè)問題,提出基于同步擠壓小波變換(SWT)的檢測(cè)方法。首先利用SWT算法將混有噪聲的時(shí)變諧波信號(hào)分解為不同的內(nèi)蘊(yùn)模態(tài)函數(shù)分量(IMTs),進(jìn)而提取出所含諧波分量,然后對(duì)每個(gè)諧波分量進(jìn)行Hilbert變換,得到每個(gè)本征函數(shù)的瞬時(shí)頻率和幅值及諧波擾動(dòng)的起止時(shí)刻。基于SWT準(zhǔn)確的模態(tài)分離能力,實(shí)現(xiàn)了各諧波的瞬時(shí)頻率、瞬時(shí)幅值和諧波擾動(dòng)的起止時(shí)刻等參數(shù)較高精度的獲取。與傳統(tǒng)的希爾伯特-黃(HHT)方法相比,該方法對(duì)于諧波的分離能力更強(qiáng),對(duì)噪聲有更強(qiáng)的魯棒性。仿真及實(shí)際數(shù)據(jù)表明,所提方法在噪聲環(huán)境下依然能精確提取各個(gè)模態(tài),驗(yàn)證了該方法在時(shí)變諧波檢測(cè)分析中的有效性。
[Abstract]:Aiming at the problem of time-varying harmonic detection under the influence of noise, a detection method based on synchronous extrusion wavelet transform (SWT) is proposed. Firstly, the time-varying harmonic signal mixed with noise is decomposed into different intrinsic mode function components (IMTs),) by using SWT algorithm, and then each harmonic component is extracted by Hilbert transform. The instantaneous frequency and amplitude of each eigenfunction and the starting and ending time of harmonic disturbance are obtained. Based on the accurate modal separation ability of SWT, the instantaneous frequency, instantaneous amplitude and the starting and ending time of harmonic disturbance are obtained with high accuracy. Compared with the traditional Hilbert-Huang (HHT) method, this method is more robust to the noise than the traditional Hilbert-Huang (HHT) method. Simulation and actual data show that the proposed method can extract all modes accurately in noise environment, and the effectiveness of the proposed method in time-varying harmonic detection and analysis is verified.
【作者單位】： 武漢科技大學(xué)信息科學(xué)與工程學(xué)院;武漢科技大學(xué)理學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(51407131,61671338,61473338) 冶金工業(yè)過程系統(tǒng)科學(xué)湖北省重點(diǎn)實(shí)驗(yàn)室開放基金(Y201506)資助項(xiàng)目
【分類號(hào)】：TM935

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