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Detecting Impulses in Mechanical Signals by Wavelets

Lookup NU author(s): Dr Wenxian YangORCiD

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Abstract

The presence of periodical or nonperiodical impulses in vibration signals often indicates the occurrence of machine faults. This knowledge is applied to the fault diagnosis of such machines as engines, gearboxes, rolling element bearings, and so on. The development of an effective impulse detection technique is necessary and significant for evaluating the working condition of these machines, diagnosing their malfunctions, and keeping them running normally over prolong periods. With the aid of wavelet transforms, a wavelet-based envelope analysis method is proposed. In order to suppress any undesired information and highlight the features of interest, an improved soft threshold method has been designed so that the inspected signal is analyzed in a more exact way. Furthermore, an impulse detection technique is developed based on the aforementioned methods. The effectiveness of the proposed technique on the extraction of impulsive features of mechanical signals has been proved by both simulated and practical experiments.

Publication metadata

Author(s): Yang W, Ren XM

Publication type: Article

Publication status: Published

Journal: EURASIP Journal on Advances in Signal Processing

Year: 2004

Volume: 8

Date deposited: 03/01/2014

ISSN (print): 1687-6172

ISSN (electronic): 1687-6180

Publisher: SpringerOpen

URL: http://dx.doi.org/10.1155/S1110865704311091

DOI: 10.1155/S1110865704311091

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