Misalignment Characteristic Analysis Based on Advanced Empirical Mode Decomposition

Abstract:

A new method of misalignment characteristic analysis, which is based on advanced empirical mode decomposition (AEMD), is presented in this paper. At first the vibration signals of a rotor system with different misalignments is collected separately. Then the multicomponent signal x (t) is decomposed into a number of the so-called intrinsic mode functions (IMFs) by use of AEMD respectively. For these IMFs the wavelet method is used to extract the interesting features. It is found that the IMF2 contains the interesting misalignment character. Additionally the experimental results substantiate that the proposed method for misalignment analysis can identify the varying trend of misalignment fault clearly.

• Periodical: Applied Mechanics and Materials (Volumes 325-326)
• Pages: 1559-1563
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.325-326.1559
• Online since: June 2013
• Authors: Hui Min Li, Wei Zhao, Yun Zhang
• Keywords: Advanced Empirical Mode Decomposition, Fault Diagnosis, Misalignment

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