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作 者:Yuqing Feng Changsong Zheng Liang Yu Chengsi Wei Xiangjun Ouyang
机构地区:[1]School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China [2]Beijing North Vehicle Group Company Ltd.,Beijing 100071,China [3]Jianglu Machinery Electronics Group Company Ltd.,Xiangtan 411200,China
出 处:《Journal of Beijing Institute of Technology》2024年第4期326-336,共11页北京理工大学学报(英文版)
摘 要:The wet multi-disc clutches are extensively used in various transmission systems,withone of the most prevalent failure modes being the buckling deformation of friction components.Animproved Hilbert-Huang transform method(IHHT)is proposed to address the limitations of tradi-tional time-domain vibration analyses,such as low accuracy and mode mixing.This paper first clas-sifies the buckling degree of the friction components.Next,wavelet packet transform(WPT)isapplied to the vibration signals of different buckling plates to partition them into distinct fre-quency bands.Then,the instantaneous features are extracted by empirical mode decomposition(EMD)and Hilbert transform(HT)to discarding extraneous intrinsic mode function(IMF)com-ponents.Comparative analyses of Hilbert spectral entropy and time-domain features confirm theenhanced precision of IHHT under specific classifiers,which is better than traditional methods.
关 键 词:multi-disc clutch BUCKLING fault diagnosis Hilbert-Huang transform ENTROPY
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