An Improved Online De-Noising Method for Ultrasonic Echo Signal of Wear Debris in Oil

Yi Ning Li; Pei Lin Zhang; Chao Xu; Yun Qiang Zhang; Long Yun Li

doi:10.4028/www.scientific.net/AMM.631-632.490

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 631-632An Improved Online De-Noising Method for...

An Improved Online De-Noising Method for Ultrasonic Echo Signal of Wear Debris in Oil

Abstract:

The ultrasonic echo signal of wear debris is influenced by many matters. It causes so much more noise. Therefore, it puts forward an improved online de-noising method for ultrasonic echo signal of wear debris in oil. In the dual-tree complex wavelet transform (DTCWT) field, a method, which combines the new non-linear threshold function with adaptive threshold, utilizes particle swarm optimization (PSO) for optimizing the parameter of non-linear threshold function to get the optimal solution. The result of de-noising method can be evaluated. Experimental results show that the proposed method has obvious effect on signal de-noising.

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Periodical:

Applied Mechanics and Materials (Volumes 631-632)

Pages:

490-493

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.631-632.490

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Online since:

September 2014

Authors:

Yi Ning Li*, Pei Lin Zhang, Chao Xu, Yun Qiang Zhang, Long Yun Li

Keywords:

Dual-Tree Complex Wavelet Transform, On-Line Wear Debris Detecting, Particle Swarm Optimization (PSO), Signal De-Noising

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