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Development of an advanced noise reduction method for vibration analysis based on singular value decomposition

Lookup NU author(s): Dr Wenxian YangORCiD

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Abstract

The paper developed a reasonable and practical method for identifying the useful information from the signal that has been contaminated by noise, so that to provide a feasible tool for vibration analysis. A new concept namely the Singular Entropy (SE) was proposed based on the singular value decomposition technique. With the aid of the SE, a series of investigations were done for discovering the distribution characteristics of noise contaminated and pure signals, and consequently an advanced noise reduction method was developed. The experiments showed that the proposed method was not only applied for dealing with the stationary signals but also applied for dealing with the non-stationary signals.

Publication metadata

Author(s): Yang W, Tse P

Publication type: Article

Publication status: Published

Journal: NDT & E International

Year: 2003

Volume: 36

Issue: 6

Pages: 419-432

ISSN (print): 0963-8695

ISSN (electronic): 879-1174

Publisher: Elsvier Ltd.

URL: http://dx.doi.org/10.1016/S0963-8695(03)00044-6

DOI: 10.1016/S0963-8695(03)00044-6

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