Fault Diagnosis of Rolling Bearing Based on S Transform and Image of Invariant Moments

Jun Feng Guo; Bao Zeng Wang; Peng Wei; Xing Chun Wei

doi:10.4028/www.scientific.net/AMR.706-708.798

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 706-708Fault Diagnosis of Rolling Bearing Based on S...

Fault Diagnosis of Rolling Bearing Based on S Transform and Image of Invariant Moments

Abstract:

According the characteristics of rolling bearing fault information are nonlinear and non-stationary, the method of time-frequency is often used to make the one dimensional time signal map into two dimensional time and frequency function, and describe the energy density of signal at different times and frequency simultaneously. A method of fault diagnosis based on S transformation and image Hu of invariant moments was put forward in this paper. First of all the measured rolling bearing signals have been S transformed, and time-frequency spectrum which is got is expressed as two dimensional image, then Hu geometric moment invariant of the S transformation spectrum is calculated and the simulation research is carried out using invariant moment principle in image processing. The results show that this method can distinguish the inner ring, outer ring and bearing roller fault intuitively and accurately and measure rolling bearing fault diagnosis efficiently.

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Periodical:

Advanced Materials Research (Volumes 706-708)

Pages:

798-802

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.706-708.798

Citation:

Cite this paper

Online since:

June 2013

Authors:

Jun Feng Guo, Bao Zeng Wang, Peng Wei, Xing Chun Wei

Keywords:

Fault Diagnosis, Hu Geometric Moment Invariant, S Transformation

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