Low excitation voltage for an electromagnetic acoustic transducer(EMAT)is necessary for the petrochemical equipment and facilities inspection,which work at high-temperatures,to avoid potential explosion.However,low ex...Low excitation voltage for an electromagnetic acoustic transducer(EMAT)is necessary for the petrochemical equipment and facilities inspection,which work at high-temperatures,to avoid potential explosion.However,low excitation voltage causes low signal-to-noise ratio(SNR)signals that are difficult to extract features,especially in a high-temperature environment,which causes high noise.In this study,a denoising method called the variational wavelet ensemble empirical(VWEE)method was proposed by combining the advantages of the variational modal decomposition(VMD),wavelet threshold(WT)denoising,and ensemble empirical mode decomposition(EEMD)methods.To validate the VWEE method,EMAT signals obtained in the temperature range of 25 to 700°C were analyzed.The results show that,compared with VMD,WT and empirical mode decomposition denoising methods,the SNR of proposed method is improved more than two times.The VWEE method dramatically improved the SNR of a high-temperature EMAT signal and enhanced the accuracy of defect echos extraction.展开更多
基金National Natural Science Foundation of China(Grant No.62071433)Shanxi Province Graduate Student Innovation Project(Grant No.2021Y583).
文摘Low excitation voltage for an electromagnetic acoustic transducer(EMAT)is necessary for the petrochemical equipment and facilities inspection,which work at high-temperatures,to avoid potential explosion.However,low excitation voltage causes low signal-to-noise ratio(SNR)signals that are difficult to extract features,especially in a high-temperature environment,which causes high noise.In this study,a denoising method called the variational wavelet ensemble empirical(VWEE)method was proposed by combining the advantages of the variational modal decomposition(VMD),wavelet threshold(WT)denoising,and ensemble empirical mode decomposition(EEMD)methods.To validate the VWEE method,EMAT signals obtained in the temperature range of 25 to 700°C were analyzed.The results show that,compared with VMD,WT and empirical mode decomposition denoising methods,the SNR of proposed method is improved more than two times.The VWEE method dramatically improved the SNR of a high-temperature EMAT signal and enhanced the accuracy of defect echos extraction.
