• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 59 Issue 1
Jan.  2024
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Article Contents
LIN Zhibin, GAO Hongli, WU Yudong, TAN Yongwen. Denoising of Acoustic Emission of Diamond-Coated Mechanical Seals Wear Based on Empirical Wavelet Transform and Kullback-Leibler Divergence[J]. Journal of Southwest Jiaotong University, 2024, 59(1): 177-184. doi: 10.3969/j.issn.0258-2724.20210599
Citation: LIN Zhibin, GAO Hongli, WU Yudong, TAN Yongwen. Denoising of Acoustic Emission of Diamond-Coated Mechanical Seals Wear Based on Empirical Wavelet Transform and Kullback-Leibler Divergence[J]. Journal of Southwest Jiaotong University, 2024, 59(1): 177-184. doi: 10.3969/j.issn.0258-2724.20210599

Denoising of Acoustic Emission of Diamond-Coated Mechanical Seals Wear Based on Empirical Wavelet Transform and Kullback-Leibler Divergence

doi: 10.3969/j.issn.0258-2724.20210599
  • Received Date: 27 Jul 2021
  • Rev Recd Date: 29 Oct 2021
  • Available Online: 02 Nov 2022
  • Publish Date: 03 Nov 2021
  • In order to obtain the pure wear acoustic emission of diamond-coated mechanical seal, the denoising method based on empirical wavelet transform (EWT) and Kullback-Leibler divergence (KLD) was proposed. Firstly, filter bank was calculated with empirical wavelet transform on acquired acoustic emission signal. Then the filter bank was applied to both the acquired acoustic emission signal and background noise acoustic emission signal. The Kullback-Leibler divergences were calculated between the corresponding bands of two signals. The cumulative sum algorithm was employed to find a threshold for determining whether the corresponding band is used for signal reconstruction. The results show that the proposed method can effectively suppress the noise of acoustic emission signals under different working conditions and wear states, and effectively improve the signal-to-noise ratio of wear acoustic emission signals, especially weak wear signals. Compared with the traditional denoising methods, the proposed EWT-KLD method has stronger adaptability and stability for denoising of wear acoustic emission signal under different working conditions, which is of great significance for the monitoring early seal wear and the cumulative wear process of seal.

     

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