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

Wen Xian Yang; Peter W. Tse

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

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

Wen Xian Yang, Peter W. Tse

Research output: Contribution to journal › Article › peer-review

167 Citations (Scopus)

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.

Original language	English
Pages (from-to)	419-432
Number of pages	14
Journal	NDT and E International
Volume	36
Issue number	6
Early online date	27 May 2003
DOIs	https://doi.org/10.1016/S0963-8695(03)00044-6
Publication status	Published - 1 Sep 2003
Externally published	Yes

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title = "Development of an advanced noise reduction method for vibration analysis based on singular value decomposition",

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.",

keywords = "Noise reduction, Singular entropy, Singular value decomposition",

author = "Yang, {Wen Xian} and Tse, {Peter W.}",

note = "Funding Information: This research was supported by the National Natural Science Fund of China (ID number: 50205021), the Shaanxi Provincial Natural Science Fund (ID number: 2002E 2 26), and partially supported by the research project of the City University of Hong Kong (ID number: 9040501).",

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AU - Yang, Wen Xian

AU - Tse, Peter W.

N1 - Funding Information: This research was supported by the National Natural Science Fund of China (ID number: 50205021), the Shaanxi Provincial Natural Science Fund (ID number: 2002E 2 26), and partially supported by the research project of the City University of Hong Kong (ID number: 9040501).

PY - 2003/9/1

Y1 - 2003/9/1

N2 - 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.

AB - 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.

KW - Noise reduction

KW - Singular entropy

KW - Singular value decomposition

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M3 - Article

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EP - 432

JO - NDT and E International

JF - NDT and E International

SN - 0963-8695

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

Abstract

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