文章基本信息

标题：Monitoring Machines by Using a Hybrid Method Combining MED, EMD, and TKEO
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作者：Mourad Kedadouche ; Marc Thomas ; Antoine Tahan 等
期刊名称：Advances in Acoustics and Vibration
印刷版ISSN：1687-6261
电子版ISSN：1687-627X
出版年度：2014
卷号：2014
DOI：10.1155/2014/592080
出版社：Hindawi Publishing Corporation
摘要：Amplitude demodulation is a key for diagnosing bearing faults. The quality of the demodulation determines the efficiency of the spectrum analysis in detecting the defect. A signal analysis technique based on minimum entropy deconvolution (MED), empirical mode decomposition (EMD), and Teager Kaiser energy operator (TKEO) is presented. The proposed method consists in enhancing the signal by using MED, decomposing the signal in intrinsic mode functions (IMFs) and selects only the IMF which presents the highest correlation coefficient with the original signal. In this study the first IMF1 was automatically selected, since it represents the contribution of high frequencies which are first excited at the early stages of degradation. After that, TKEO is used to track the modulation energy. The spectrum is applied to the instantaneous amplitude. Therefore, the character of the bearing faults can be recognized according to the envelope spectrum. The simulation and experimental results show that an envelope spectrum analysis based on MED-EMD and TKEO provides a reliable signal analysis tool. The experimental application has been developed on acoustic emission and vibration signals recorded for bearing fault detection.