Application of Correlation Dimension in Extraction of Power Plant Blower Bearing Fault Feature

Zuo Wei Pan; Shuang Yin Liang; Zhuang Li; Yi Bing Liu

doi:10.4028/www.scientific.net/AMM.687-691.1044

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Application of Correlation Dimension in Extraction...

Application of Correlation Dimension in Extraction of Power Plant Blower Bearing Fault Feature

Abstract:

A mechanical system shows different dynamical features under normal running conditions and faulty. The fractal dimension is a probability measurement of a dynamical system strange attractor. It is very sensitive to the inhomogeneity of a stranger attractor. Therefore it is often used feature value for indicating machine fault. The correlation dimension is proposed to be used in detecting the bearing fault of a power plant blower. Analysis result demonstrates the correlation dimension from measured bearing vibration signals is able to identify different running conditions of the blower. The correlation dimension values of the normal condition and faulty condition can be classified clearly.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

1044-1048

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.1044

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Online since:

November 2014

Authors:

Zuo Wei Pan*, Shuang Yin Liang, Zhuang Li, Yi Bing Liu

Keywords:

Blower, Correlation Dimension, Fault Diagnosis, Feature Extraction, Rolling Bearing

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