<div style="line-height: 150%">Improved HHT method and its applications in rotating machinery fault diagnosis</div>

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Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (7) : 189-195.

Improved HHT method and its applications in rotating machinery fault diagnosis

ZHOU Xiaolong1, LIU Weina2, JIANG Zhenhai3, MA Fenglei3

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Abstract

In order to solve the problem of Hilbert-Huang transform (HHT), which has mode mixing and false intrinsic mode function (IMF), an improved HHT method combining ensemble envelop mean empirical mode decomposition(EEMEMD) and spurious mode function elimination algorithm was proposed. The method uses EEMEMD to accurately reflect the self-change of the signal after adding noise, neutralizes the residual noise contained in modal components partly, and obtains a purer IMF component without mode mixing. At the same time, the false mode function elimination algorithm based on normalized energy entropy can effectively eliminate noise interference components and iterative error components, so as to improve the accuracy of signal feature extraction. The simulation analysis and engineering examples of rotor misalignment fault diagnosis were compared.The result show that the improved HHT method can suppress the mode mixing problem better and effectively eliminate the false IMF, which is not related to the fault,to achieve effective fault diagnosis of rotating machinery.

Key words

ensemble envelop mean empirical mode decomposition / Hilbert-Huang transform / mode mixing / false mode / fault diagnosis

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ZHOU Xiaolong1, LIU Weina2, JIANG Zhenhai3, MA Fenglei3.

Improved HHT method and its applications in rotating machinery fault diagnosis

[J]. Journal of Vibration and Shock, 2020, 39(7): 189-195

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