Abstract
Reliable online monitoring of wear remains a challenge to tribology research as well as to the industry. This
paper presents a new method for monitoring of dry sliding wear using digital imaging and fractal analysis.
Fractal values, namely fractal dimension and intercept, computed from the power spectrum of the images of a
wearing surface, are adopted as indicators of the dynamic wear process. Experimental results show that
progressive changes of fractal values might reveal the wear status of the surface.
Original language | English |
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Pages (from-to) | 111 |
Journal | Metrology and measurement systems |
Volume | 12 |
Issue number | 2 |
Publication status | Published - 2005 |
Keywords
- Fractal analysis
- Dry sliding wear