Vibration Signal Extraction of Rotating Machines Based on the Analysis of Degree of Cylcostationary

Yu Rong Wang; Tian Xing Wu

doi:10.4028/www.scientific.net/AMR.546-547.188

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 546-547Vibration Signal Extraction of Rotating Machines...

Vibration Signal Extraction of Rotating Machines Based on the Analysis of Degree of Cylcostationary

Abstract:

When early faults occur in rotating machine, the vibration signal being extraction the often contain heavy background noise .In this paper the analysis of degree of cyclostationarity (DCS) was proposed to vibration signal extraction of rotating machine. This method can overcome the shortcoming of Hilbert transformation that will be influenced by many factors, such as end effect, sampling frequency and the added noise in signal. The research results show that the DCS can not only extract vibration signal but also suppress the added noise in the signal. Therefore more accurate fault signal will be extracted and detected through this new method.

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Info:

Periodical:

Advanced Materials Research (Volumes 546-547)

Pages:

188-193

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.546-547.188

Citation:

Cite this paper

Online since:

July 2012

Authors:

Yu Rong Wang, Tian Xing Wu

Keywords:

Degree of Cyclostationary, Fault Signal, Hilbert Transformation, Rotating Machine

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