IEEJ Transactions on Power and Energy
Online ISSN : 1348-8147
Print ISSN : 0385-4213
ISSN-L : 0385-4213
Discrimination of Wear Particle in Lubricating Oil to Diagnose the Bearing using Wavelet Transform and Fuzzy Systems Theory
Shinji UtsumiZen-ichiro KawasakiKenji Matsu-uraMasatake Kawada
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1999 Volume 119 Issue 2 Pages 147-155

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Abstract
Ferography analytical method is required to detect the wear particles in the lubricating oil automatically, because in the customary way it is involved a sacrifice of a great deal of time. We propose a new method to detect the wear particles in the lubricating oil to diagnose the bearing by means of local spatial frequency analysis using Wavelet Transform. Gabor function and cylindrical Gabor function are used as the mother function of Wavelet Transform in this paper. Gabor function is effective to detect the particles which distribute along the line of magnetic force on the Ferogram slide. Cylindrical Gabor function can detect the circular particles. And to discriminate the particles, we apply the Fuzzy Systems Theory to the image transformed by two Gabor function and show the effectiveness of this method.
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© The Institute of Electrical Engineers of Japan
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