Study of worn surface characterisation based on singular entropy
by G.B. Li, D.L. Guan
International Journal of Surface Science and Engineering (IJSURFSE), Vol. 4, No. 3, 2010

Abstract: A new method based on singular entropy is suggested for estimating the worn surface using wavelet analysis, Singular Value Decomposition (SVD) and information entropy. Feature parameters of worn surface based on statistical feature were extracted. The running-in wear test for materials of piston ring against cylinder liner was conducted on a pin-on-disc tester under CD40 lubrication. It was shown that low-frequency feature parameters reflect contact area of the worn surface, the larger low-frequency feature parameters and the larger contact area. High-frequency feature parameters reflect roughness of the worn surface, the larger high-frequency feature parameters and the smaller roughness.

Online publication date: Fri, 14-May-2010

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