本文選題：經(jīng)驗(yàn)小波變換　切入點(diǎn)：固有模態(tài)　出處：《焊接學(xué)報(bào)》2017年06期 　論文類型：期刊論文

【摘要】：針對(duì)磁控埋弧焊跟蹤信號(hào)非線性,不平穩(wěn)及常用濾波方法難以濾除其相近低頻干擾信號(hào)的缺點(diǎn),提出一種基于經(jīng)驗(yàn)小波變換(EWT)的磁控埋弧焊焊縫跟蹤信號(hào)分析方法.該方法繼承了EMD分解與小波變換各自的優(yōu)點(diǎn),分解出電弧跟蹤信號(hào)的固有模態(tài),在頻域自適應(yīng)地構(gòu)造帶通濾波器組從而構(gòu)造正交小波函數(shù),提取具有緊支撐傅立葉頻譜的調(diào)幅-調(diào)頻(AM-FM)成分.將此方法用于埋弧焊磁控電弧傳感器焊縫跟蹤平臺(tái)信號(hào)分析中,提取出了更精確的焊縫跟蹤信號(hào),并通過試驗(yàn)驗(yàn)證了此方法的有效性及精確性.同時(shí)分析了相近低頻噪聲的信息,為進(jìn)一步的信號(hào)處理及跟蹤系統(tǒng)的優(yōu)化提供了理論依據(jù).
[Abstract]:Aiming at the nonlinearity, nonstationarity of tracking signals of magnetically controlled submerged arc welding (MAW), and the disadvantages of common filtering methods, it is difficult to filter the similar low-frequency interference signals. A method for analyzing the tracking signals of magnetically controlled submerged arc welding seam based on empirical wavelet transform (EWT) is proposed. This method inherits the advantages of EMD decomposition and wavelet transform, and decomposes the inherent modes of arc tracking signals. The band pass filter bank is constructed adaptively in frequency domain to construct orthogonal wavelet function, and the amplitude modulation-frequency modulation (AM FM) component with compact support Fourier spectrum is extracted. The method is applied to the signal analysis of weld seam tracking platform of submerged arc welding (SAW) magnetron arc sensor. More accurate seam tracking signals are extracted, and the validity and accuracy of this method are verified by experiments. The information of similar low frequency noise is analyzed, which provides a theoretical basis for further signal processing and optimization of tracking system.
【作者單位】： 湘潭大學(xué)機(jī)械工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(50975243)
【分類號(hào)】：TG409

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本文編號(hào)：1610118