典型文献
Variational Wavelet Ensemble Empirical ( VWEE) Denoising Method for Electromagnetic Ultrasonic Signal in High?Temperature Environment with Low?Voltage Excitation
文献摘要：
Low excitation voltage for an electromagnetic acoustic transducer (EMAT) is necessary for the petrochemical equip- ment 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-temper-ature environment, which causes high noise. In this study, a denoising method called the variational wavelet ensem-ble 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 ℃ 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.
文献关键词：
中图分类号：
作者姓名：
Jinjie Zhou;Shuaijie Zhao;Yang Zheng;Xingquan Shen;Jitang Zhang
作者机构：
School of Mechanical Engineering,North University of China,Taiyuan 030051,China;China Special Equipment Inspection and Research Institute,Bei- jing 100029,China
文献出处：
引用格式：
[1]Jinjie Zhou;Shuaijie Zhao;Yang Zheng;Xingquan Shen;Jitang Zhang-.Variational Wavelet Ensemble Empirical ( VWEE) Denoising Method for Electromagnetic Ultrasonic Signal in High?Temperature Environment with Low?Voltage Excitation)[J].中国机械工程学报,2022(06):389-402
A类：
VWEE,echos
B类：
Variational,Wavelet,Ensemble,Empirical,Denoising,Method,Electromagnetic,Ultrasonic,Signal,High,Temperature,Environment,Low,Voltage,Excitation,excitation,voltage,electromagnetic,acoustic,transducer,EMAT,necessary,petrochemical,equip,facilities,inspection,which,work,high,temperatures,avoid,potential,explosion,However,low,causes,noise,ratio,SNR,signals,that,difficult,features,especially,environment,In,this,study,denoising,called,variational,wavelet,empirical,was,proposed,by,combining,advantages,modal,decomposition,VMD,threshold,WT,ensemble,mode,EEMD,methods,To,validate,obtained,range,were,analyzed,results,show,compared,improved,more,than,two,times,dramatically,enhanced,accuracy,defect,extraction
AB值：
0.540777
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