Analysis method of the cavitation vibration signals in poppet valve based on EEMD

To study the vibration characteristics of the poppet valve induced by cavitation, the signal analysis method based on the ensemble empirical mode decomposition (EEMD) method was studied experimentally. The component induced by cavitation was separated from the vibration signals through the EEMD meth...

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Published inAdvances in mechanical engineering Vol. 13; no. 2
Main Authors Li, Beibei, Zhao, Qiao, Li, Huaiyi, Liu, Xiumei, Ma, Jichao, Fan, Zhong
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.02.2021
Sage Publications Ltd
SAGE Publishing
Subjects
Cavitation
Empirical analysis
Inlet pressure
Signal analysis
Vibration analysis
Ensemble empirical mode decomposition
poppet valve
vibration
cavitation
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Abstract To study the vibration characteristics of the poppet valve induced by cavitation, the signal analysis method based on the ensemble empirical mode decomposition (EEMD) method was studied experimentally. The component induced by cavitation was separated from the vibration signals through the EEMD method. The results show that the IMF2 component has the largest amplitude and energy of all components. The root mean square (RMS) value, peak value of marginal spectrum, and center frequency of marginal spectrum of the IMF2 component were studied in detail. The RMS value and the peak value of the marginal spectrum decrease with a decrease of cavitation intensity. The center frequency of marginal spectrum is between 12 kHz and 20 kHz, and the center frequency first increases and then decreases with a decrease of cavitation intensity. The change rate of the center frequency also decreases with an increase of inlet pressure.
AbstractList To study the vibration characteristics of the poppet valve induced by cavitation, the signal analysis method based on the ensemble empirical mode decomposition (EEMD) method was studied experimentally. The component induced by cavitation was separated from the vibration signals through the EEMD method. The results show that the IMF2 component has the largest amplitude and energy of all components. The root mean square (RMS) value, peak value of marginal spectrum, and center frequency of marginal spectrum of the IMF2 component were studied in detail. The RMS value and the peak value of the marginal spectrum decrease with a decrease of cavitation intensity. The center frequency of marginal spectrum is between 12 kHz and 20 kHz, and the center frequency first increases and then decreases with a decrease of cavitation intensity. The change rate of the center frequency also decreases with an increase of inlet pressure.
Author Li, Huaiyi
Li, Beibei
Zhao, Qiao
Fan, Zhong
Liu, Xiumei
Ma, Jichao
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crossref_primary_10_1016_j_sna_2024_115178
crossref_primary_10_3390_electronics11101549
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Issue 2
Keywords Ensemble empirical mode decomposition
poppet valve
vibration
cavitation
Language English
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Snippet To study the vibration characteristics of the poppet valve induced by cavitation, the signal analysis method based on the ensemble empirical mode decomposition...
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SubjectTerms Cavitation
Empirical analysis
Inlet pressure
Signal analysis
Vibration analysis
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Title Analysis method of the cavitation vibration signals in poppet valve based on EEMD
URI https://journals.sagepub.com/doi/full/10.1177/1687814021998114
https://www.proquest.com/docview/2494165537
https://doaj.org/article/b02fbdde919d448aa6def7f8c9bd9016
Volume 13
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