【摘要】：針對噪聲影響下時變諧波檢測問題,提出基于同步擠壓小波變換(SWT)的檢測方法。首先利用SWT算法將混有噪聲的時變諧波信號分解為不同的內蘊模態(tài)函數分量(IMTs),進而提取出所含諧波分量,然后對每個諧波分量進行Hilbert變換,得到每個本征函數的瞬時頻率和幅值及諧波擾動的起止時刻�；赟WT準確的模態(tài)分離能力,實現(xiàn)了各諧波的瞬時頻率、瞬時幅值和諧波擾動的起止時刻等參數較高精度的獲取。與傳統(tǒng)的希爾伯特-黃(HHT)方法相比,該方法對于諧波的分離能力更強,對噪聲有更強的魯棒性。仿真及實際數據表明,所提方法在噪聲環(huán)境下依然能精確提取各個模態(tài),驗證了該方法在時變諧波檢測分析中的有效性。
[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】： 武漢科技大學信息科學與工程學院;武漢科技大學理學院;
【基金】：國家自然科學基金(51407131,61671338,61473338) 冶金工業(yè)過程系統(tǒng)科學湖北省重點實驗室開放基金(Y201506)資助項目
【分類號】：TM935

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