The pressure characteristics analysis of oil pulsation flow based on VMD
Abstract The pressure signal of oil pulsating flow is a kind of multi-component signal; in order to realise the effective separation of the multi-component pressure signal and extract its vibration characteristics, the pressure signal was decomposed by Variational Mode Decomposition (VMD). The slope...
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2021
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oai:doaj.org-article:b9a338fae6b94d749c4cd610d20b96862021-12-02T15:28:46ZThe pressure characteristics analysis of oil pulsation flow based on VMD10.1038/s41598-021-96860-02045-2322https://doaj.org/article/b9a338fae6b94d749c4cd610d20b96862021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96860-0https://doaj.org/toc/2045-2322Abstract The pressure signal of oil pulsating flow is a kind of multi-component signal; in order to realise the effective separation of the multi-component pressure signal and extract its vibration characteristics, the pressure signal was decomposed by Variational Mode Decomposition (VMD). The slope criterion of the centre frequency is proposed to determine the number of components of VMD decomposition, and the method to judge the main components of the signal by energy value is proposed. The Hilbert envelope demodulation analysis was performed on the main components obtained. The results show that the proposed center frequency slope criterion method is effective in the VMD decomposition of the pressure signal of oil pulsating flow, which is used to decompose the pressure signal into 9 components. Four major components of the pressure signal are obtained by the correlation between each component and the pressure signal, and the energy value calculation of each component. The main component frequency of the pressure signal is one time, 6 times, 11 times and 14 times the frequency of the system spindle rotation; these are the sum of two cosine signals of close frequency and have the characteristic of beat vibration.Ge LiuBin ChenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-16 (2021) |
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Medicine R Science Q Ge Liu Bin Chen The pressure characteristics analysis of oil pulsation flow based on VMD |
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Abstract The pressure signal of oil pulsating flow is a kind of multi-component signal; in order to realise the effective separation of the multi-component pressure signal and extract its vibration characteristics, the pressure signal was decomposed by Variational Mode Decomposition (VMD). The slope criterion of the centre frequency is proposed to determine the number of components of VMD decomposition, and the method to judge the main components of the signal by energy value is proposed. The Hilbert envelope demodulation analysis was performed on the main components obtained. The results show that the proposed center frequency slope criterion method is effective in the VMD decomposition of the pressure signal of oil pulsating flow, which is used to decompose the pressure signal into 9 components. Four major components of the pressure signal are obtained by the correlation between each component and the pressure signal, and the energy value calculation of each component. The main component frequency of the pressure signal is one time, 6 times, 11 times and 14 times the frequency of the system spindle rotation; these are the sum of two cosine signals of close frequency and have the characteristic of beat vibration. |
format |
article |
author |
Ge Liu Bin Chen |
author_facet |
Ge Liu Bin Chen |
author_sort |
Ge Liu |
title |
The pressure characteristics analysis of oil pulsation flow based on VMD |
title_short |
The pressure characteristics analysis of oil pulsation flow based on VMD |
title_full |
The pressure characteristics analysis of oil pulsation flow based on VMD |
title_fullStr |
The pressure characteristics analysis of oil pulsation flow based on VMD |
title_full_unstemmed |
The pressure characteristics analysis of oil pulsation flow based on VMD |
title_sort |
pressure characteristics analysis of oil pulsation flow based on vmd |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/b9a338fae6b94d749c4cd610d20b9686 |
work_keys_str_mv |
AT geliu thepressurecharacteristicsanalysisofoilpulsationflowbasedonvmd AT binchen thepressurecharacteristicsanalysisofoilpulsationflowbasedonvmd AT geliu pressurecharacteristicsanalysisofoilpulsationflowbasedonvmd AT binchen pressurecharacteristicsanalysisofoilpulsationflowbasedonvmd |
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