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Author:

Zhu Lihuan (Zhu Lihuan.) | Zhang Jianyu (Zhang Jianyu.) | Ma Liming (Ma Liming.) | Liu Xiaohui (Liu Xiaohui.)

Indexed by:

CPCI-S

Abstract:

Aiming at the difficulties of vibration testing in low-speed and heavy-duty, acoustic emission testing is proposed in this paper, and independent component analysis method is used in acoustic emission signals processing. The traditional independent component analysis method is restricted to non-gaussian, stationary and mutually independent source signals, and the number of observations is assumed to be more than that of sources, these assumptions in the mechanical fault diagnosis are difficult to achieved, so fault diagnosis methods for low-speed and heavy-duty based on acoustic emission testing and EMD-ICA is proposed. The proposed method is that the acoustic emission signals are decomposed into a series of intrinsic mode functions (IMF) by the empirical mode decomposition (EMD) method, and then the obvious impact and periodicity IMFs and the original signals are composed into new signals, which was separated independent signals to find the fault information. The analysis results of project show that the proposed method is very effective.

Keyword:

Fault Diagnosis Low-Speed and Heavy-Duty EMD-ICA Acoustic Emission

Author Community:

  • [ 1 ] [Zhu Lihuan]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Zhang Jianyu]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Ma Liming]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Liu Xiaohui]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Zhu Lihuan]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China

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Source :

PROCEEDINGS OF THE FIFTH INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1 AND 2

Year: 2014

Page: 209-214

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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