Variational Wavelet Ensemble Empirical (VWEE) Denoising Method for Electromagnetic Ultrasonic Signal in High-Temperature Environment with Low-Voltage Excitation
Abstract 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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2022-09-01
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| Series: | Chinese Journal of Mechanical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s10033-022-00787-0 |
| _version_ | 1817994122324082688 |
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| author | Jinjie Zhou Shuaijie Zhao Yang Zheng Xingquan Shen Jitang Zhang |
| author_facet | Jinjie Zhou Shuaijie Zhao Yang Zheng Xingquan Shen Jitang Zhang |
| author_sort | Jinjie Zhou |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-14T01:48:48Z |
| format | Article |
| id | doaj.art-631b3192267c47d0a5ab6b91baa2d34a |
| institution | Directory Open Access Journal |
| issn | 1000-9345 2192-8258 |
| language | English |
| last_indexed | 2024-04-14T01:48:48Z |
| publishDate | 2022-09-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Chinese Journal of Mechanical Engineering |
| spelling | doaj.art-631b3192267c47d0a5ab6b91baa2d34a2022-12-22T02:19:26ZengSpringerOpenChinese Journal of Mechanical Engineering1000-93452192-82582022-09-0135111410.1186/s10033-022-00787-0Variational Wavelet Ensemble Empirical (VWEE) Denoising Method for Electromagnetic Ultrasonic Signal in High-Temperature Environment with Low-Voltage ExcitationJinjie Zhou0Shuaijie Zhao1Yang Zheng2Xingquan Shen3Jitang Zhang4School of Mechanical Engineering, North University of ChinaSchool of Mechanical Engineering, North University of ChinaChina Special Equipment Inspection and Research InstituteSchool of Mechanical Engineering, North University of ChinaSchool of Mechanical Engineering, North University of ChinaAbstract 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.https://doi.org/10.1186/s10033-022-00787-0EMATHigh temperatureLow excitation voltageSNR |
| spellingShingle | 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 Chinese Journal of Mechanical Engineering EMAT High temperature Low excitation voltage SNR |
| title | Variational Wavelet Ensemble Empirical (VWEE) Denoising Method for Electromagnetic Ultrasonic Signal in High-Temperature Environment with Low-Voltage Excitation |
| title_full | Variational Wavelet Ensemble Empirical (VWEE) Denoising Method for Electromagnetic Ultrasonic Signal in High-Temperature Environment with Low-Voltage Excitation |
| title_fullStr | Variational Wavelet Ensemble Empirical (VWEE) Denoising Method for Electromagnetic Ultrasonic Signal in High-Temperature Environment with Low-Voltage Excitation |
| title_full_unstemmed | Variational Wavelet Ensemble Empirical (VWEE) Denoising Method for Electromagnetic Ultrasonic Signal in High-Temperature Environment with Low-Voltage Excitation |
| title_short | Variational Wavelet Ensemble Empirical (VWEE) Denoising Method for Electromagnetic Ultrasonic Signal in High-Temperature Environment with Low-Voltage Excitation |
| title_sort | variational wavelet ensemble empirical vwee denoising method for electromagnetic ultrasonic signal in high temperature environment with low voltage excitation |
| topic | EMAT High temperature Low excitation voltage SNR |
| url | https://doi.org/10.1186/s10033-022-00787-0 |
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