Wear as a surface loss of material resulting from friction is considered in connection with various factors affecting a tribosystem. It is shown that debris formed at friction can be a source of valuable information on the wear mechanism and mode. The shape, texture and color of particles can be used for wear analysis. Methods of image recognition are used in order to solve the problem of debris analysis and classification for further use as a database being a part of integrated monitoring service. The concept of wear monitoring and its main purposes are considered in the context of providing non-failure, long-term operation at optimum friction performance of a tribosystem. Wear monitoring tools based on the analysis of debris accumulation in lubricated machinery are reviewed.
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