Atik, Faysal and Ngui, Wai Keng and Lim, M. H. (2021) Noise eliminated ensemble empirical mode decomposition for bearing fault diagnosis. Journal of Vibration Engineering & Technologies. pp. 1-17. ISSN 2523-3939. (Published)
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Abstract
Although noise-assisted decomposition methods, ensemble empirical mode decomposition (EEMD) and complementary EEMD (CEEMD) can reduce the drawbacks of empirical mode decomposition (EMD), they cannot fully eliminate the presence of white noise. In this paper, a method named noise eliminated EEMD (NEEEMD) was proposed to reduce further the white noise in the intrinsic functions and keep the ensembles optimum. The NEEEMD algorithm also decomposes the ensemble of white noise signals using EMD and subtracts from the outputs of EEMD. A simulated signal was used to demonstrate the performance of NEEEMD using root-mean-square error (RRMSE) and time & envelope spectrum kurtosis (TESK). A sensitive mode (SM) selection method was proposed to select the most sensitive intrinsic mode functions (IMFs) from NEEEMD which takes multiplication of kurtosis in the time domain and energy-entropy in the frequency domain. Finally, to enhance the signal's fault-related impulses, an advanced filter called MOMEDA was applied to the most sensitive IMF. The significance of the proposed method was illustrated using the envelope spectrum from bearing signals containing different types of faults at various speeds and motor loads. The output of the proposed method, EEMD and CEEMD was compared using the envelope spectrum to identify fault characteristic impulses. Envelope spectrum analysis proved that our proposed method performed better in every case by providing more fault-related impulses.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Empirical mode decomposition; ensemble empirical mode decomposition; complementary ensemble empirical mode decomposition; fault diagnosis. |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery |
| Depositing User: | Miss. Ratna Wilis Haryati Mustapa |
| Date Deposited: | 01 Sep 2021 09:49 |
| Last Modified: | 01 Sep 2021 09:49 |
| URI: | http://umpir.ump.edu.my/id/eprint/31924 |
| Download Statistic: | View Download Statistics |
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