Research on Noise Reduction Method of Pressure Pulsation Signal of Draft Tube of Hydropower Unit Based on ALIF-SVD
Aiming at the problem that it is difficult to extract the characteristics of the draft tube pressure fluctuation signal under the background of strong noise, this study proposes a dual noise reduction method based on adaptive local iterative filtering (ALIF) and singular value decomposition (SVD). F...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/5580319 |
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| _version_ | 1832546881746501632 |
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| author | Yan Ren Pan Liu Leiming Hu Jin Huang Ruoyu Qiao Hongping Chen Xiaokai Li Shaojie Huang |
| author_facet | Yan Ren Pan Liu Leiming Hu Jin Huang Ruoyu Qiao Hongping Chen Xiaokai Li Shaojie Huang |
| author_sort | Yan Ren |
| collection | DOAJ |
| description | Aiming at the problem that it is difficult to extract the characteristics of the draft tube pressure fluctuation signal under the background of strong noise, this study proposes a dual noise reduction method based on adaptive local iterative filtering (ALIF) and singular value decomposition (SVD). First, perform ALIF decomposition of the signal to be decomposed to obtain a series of IMF components, calculate the sample entropy of each component, select some IMF components to reconstruct according to the set sample entropy threshold, and then perform SVD decomposition on the reconstructed signal, and according to the location of the singular value difference spectrum mutation point, the appropriate number of reconstructions is selected for reconstruction, so as to achieve the double noise reduction effect. The ALIF-SVD dual noise reduction method proposed in this study is compared with the single ALIF, EMD, and EMD-SVD dual noise reduction method through simulation, and the correlation coefficient, signal-to-noise ratio, and mean square error are used to evaluate the noise reduction. It is found that the ALIF-SVD dual noise reduction method avoids the phenomenon of modal aliasing in the decomposition process, effectively removes the noise, and can retain the useful information of the original signal, and the noise reduction effect is better. A unit of a hydropower station in China is further selected as the research object, and its draft tube pressure fluctuation data were analyzed for noise reduction. It was found that this method can accurately extract the signal characteristics under strong noise background, so as to determine the type of pressure fluctuation of the unit, which is helpful to improve the fault recognition rate of hydraulic turbines. And it provides some technical support for the safe and stable operation of hydropower units and the promotion of condition-based maintenance strategy and improves the intelligent level of hydropower station operation management. |
| format | Article |
| id | doaj-art-71edfab171224862aabfb8a0e837b61f |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-71edfab171224862aabfb8a0e837b61f2025-02-03T06:46:43ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/55803195580319Research on Noise Reduction Method of Pressure Pulsation Signal of Draft Tube of Hydropower Unit Based on ALIF-SVDYan Ren0Pan Liu1Leiming Hu2Jin Huang3Ruoyu Qiao4Hongping Chen5Xiaokai Li6Shaojie Huang7School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaSchool of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaJiangxi Hongping Pumped Storage Co., Ltd., Yichun 330600, ChinaSchool of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaSchool of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaState Grid Hunan Electric Power Co., Ltd., Changsha 410004, ChinaState Grid Hunan Electric Power Co., Ltd., Changsha 410004, ChinaHenan Nuclear Industry Radionuclide Testing Center, Zhengzhou 450046, ChinaAiming at the problem that it is difficult to extract the characteristics of the draft tube pressure fluctuation signal under the background of strong noise, this study proposes a dual noise reduction method based on adaptive local iterative filtering (ALIF) and singular value decomposition (SVD). First, perform ALIF decomposition of the signal to be decomposed to obtain a series of IMF components, calculate the sample entropy of each component, select some IMF components to reconstruct according to the set sample entropy threshold, and then perform SVD decomposition on the reconstructed signal, and according to the location of the singular value difference spectrum mutation point, the appropriate number of reconstructions is selected for reconstruction, so as to achieve the double noise reduction effect. The ALIF-SVD dual noise reduction method proposed in this study is compared with the single ALIF, EMD, and EMD-SVD dual noise reduction method through simulation, and the correlation coefficient, signal-to-noise ratio, and mean square error are used to evaluate the noise reduction. It is found that the ALIF-SVD dual noise reduction method avoids the phenomenon of modal aliasing in the decomposition process, effectively removes the noise, and can retain the useful information of the original signal, and the noise reduction effect is better. A unit of a hydropower station in China is further selected as the research object, and its draft tube pressure fluctuation data were analyzed for noise reduction. It was found that this method can accurately extract the signal characteristics under strong noise background, so as to determine the type of pressure fluctuation of the unit, which is helpful to improve the fault recognition rate of hydraulic turbines. And it provides some technical support for the safe and stable operation of hydropower units and the promotion of condition-based maintenance strategy and improves the intelligent level of hydropower station operation management.http://dx.doi.org/10.1155/2021/5580319 |
| spellingShingle | Yan Ren Pan Liu Leiming Hu Jin Huang Ruoyu Qiao Hongping Chen Xiaokai Li Shaojie Huang Research on Noise Reduction Method of Pressure Pulsation Signal of Draft Tube of Hydropower Unit Based on ALIF-SVD Shock and Vibration |
| title | Research on Noise Reduction Method of Pressure Pulsation Signal of Draft Tube of Hydropower Unit Based on ALIF-SVD |
| title_full | Research on Noise Reduction Method of Pressure Pulsation Signal of Draft Tube of Hydropower Unit Based on ALIF-SVD |
| title_fullStr | Research on Noise Reduction Method of Pressure Pulsation Signal of Draft Tube of Hydropower Unit Based on ALIF-SVD |
| title_full_unstemmed | Research on Noise Reduction Method of Pressure Pulsation Signal of Draft Tube of Hydropower Unit Based on ALIF-SVD |
| title_short | Research on Noise Reduction Method of Pressure Pulsation Signal of Draft Tube of Hydropower Unit Based on ALIF-SVD |
| title_sort | research on noise reduction method of pressure pulsation signal of draft tube of hydropower unit based on alif svd |
| url | http://dx.doi.org/10.1155/2021/5580319 |
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