Application Research of Negative Pressure Wave Signal Denoising Method Based on VMD
The quality of pipeline leakage fault feature extractions deteriorates due to the influence of fluid pipeline running state and signal acquisition equipment. The pressure signal is characterized by high complexity, nonlinear and strong correlation. Therefore, traditional denoising methods have diffi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/7/4156 |
| _version_ | 1797608371641122816 |
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| author | Zhu Jiang Ganghui Guo Boxiang Liu |
| author_facet | Zhu Jiang Ganghui Guo Boxiang Liu |
| author_sort | Zhu Jiang |
| collection | DOAJ |
| description | The quality of pipeline leakage fault feature extractions deteriorates due to the influence of fluid pipeline running state and signal acquisition equipment. The pressure signal is characterized by high complexity, nonlinear and strong correlation. Therefore, traditional denoising methods have difficulty dealing with this kind of signal. In order to realize accurate leakage fault alarm and leak location, a denoising method based on variational mode decomposition (VMD) technology is proposed in this paper. Firstly, the intrinsic mode functions are screened out using the correlation coefficient. Secondly, information entropy is used to optimize the VMD decomposition layers <i>k</i>. Finally, based on the denoising signal, the inflection point of the negative pressure wave is extracted, and the position of the leakage point is calculated according to the time difference between the two inflection points. To verify the effectiveness of the algorithm, both laboratory experiments and real pipeline tests are conducted. Experimental results show that the method proposed by this paper can be used to effectively denoise the pressure signal. Furthermore, from the perspective of positioning accuracy, compared other methods, the proposed method can achieve a better positioning effect, as the positioning accuracy of the laboratory experiment reaches up to 0.9%, and that of the real pipeline test leakage point reaches up to 0.41%. |
| first_indexed | 2024-03-11T05:42:33Z |
| format | Article |
| id | doaj.art-1709885d58114fed99ea15be9da50a4d |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T05:42:33Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-1709885d58114fed99ea15be9da50a4d2023-11-17T16:16:15ZengMDPI AGApplied Sciences2076-34172023-03-01137415610.3390/app13074156Application Research of Negative Pressure Wave Signal Denoising Method Based on VMDZhu Jiang0Ganghui Guo1Boxiang Liu2School of Energy and Power Engineering, Xihua University, Chengdu 610039, ChinaSchool of Energy and Power Engineering, Xihua University, Chengdu 610039, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaThe quality of pipeline leakage fault feature extractions deteriorates due to the influence of fluid pipeline running state and signal acquisition equipment. The pressure signal is characterized by high complexity, nonlinear and strong correlation. Therefore, traditional denoising methods have difficulty dealing with this kind of signal. In order to realize accurate leakage fault alarm and leak location, a denoising method based on variational mode decomposition (VMD) technology is proposed in this paper. Firstly, the intrinsic mode functions are screened out using the correlation coefficient. Secondly, information entropy is used to optimize the VMD decomposition layers <i>k</i>. Finally, based on the denoising signal, the inflection point of the negative pressure wave is extracted, and the position of the leakage point is calculated according to the time difference between the two inflection points. To verify the effectiveness of the algorithm, both laboratory experiments and real pipeline tests are conducted. Experimental results show that the method proposed by this paper can be used to effectively denoise the pressure signal. Furthermore, from the perspective of positioning accuracy, compared other methods, the proposed method can achieve a better positioning effect, as the positioning accuracy of the laboratory experiment reaches up to 0.9%, and that of the real pipeline test leakage point reaches up to 0.41%.https://www.mdpi.com/2076-3417/13/7/4156negative pressure wavedenoisingvariational mode decompositioncorrelation coefficientinformation entropyleak location |
| spellingShingle | Zhu Jiang Ganghui Guo Boxiang Liu Application Research of Negative Pressure Wave Signal Denoising Method Based on VMD Applied Sciences negative pressure wave denoising variational mode decomposition correlation coefficient information entropy leak location |
| title | Application Research of Negative Pressure Wave Signal Denoising Method Based on VMD |
| title_full | Application Research of Negative Pressure Wave Signal Denoising Method Based on VMD |
| title_fullStr | Application Research of Negative Pressure Wave Signal Denoising Method Based on VMD |
| title_full_unstemmed | Application Research of Negative Pressure Wave Signal Denoising Method Based on VMD |
| title_short | Application Research of Negative Pressure Wave Signal Denoising Method Based on VMD |
| title_sort | application research of negative pressure wave signal denoising method based on vmd |
| topic | negative pressure wave denoising variational mode decomposition correlation coefficient information entropy leak location |
| url | https://www.mdpi.com/2076-3417/13/7/4156 |
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