Signal Denoising Method Based on KICA by Noise Components

Ling Li Jiang; Ping Li; Bo Zeng

doi:10.4028/www.scientific.net/AMM.329.269

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 329Signal Denoising Method Based on KICA by Noise...

Signal Denoising Method Based on KICA by Noise Components

Abstract:

Denoising is an essential part of fault signal analysis. This paper proposes a kernel independent component analysis (KICA)-based denoising method for removing the noise from vibration signal. By introducing noise components of the observed signal, one-dimensional observed signal is extended to multi-dimensional signal. Then performing KICA on multidimensional signal, the noise in the observed signal consistent with the introduced noise will be removed that achieve the purpose of denosing. The effectiveness of the proposed method is demonstrated by the case study.

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Periodical:

Applied Mechanics and Materials (Volume 329)

Pages:

269-273

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.329.269

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Online since:

June 2013

Authors:

Ling Li Jiang, Ping Li, Bo Zeng

Keywords:

De-Noising, Fault Diagnosis, KICA

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