Abstract:In the wear process of mechanical equipment,the color of the wear particles produced by friction pairs of different materials is different.By studying the color of the wear debris,the material of wear and the mechanism of wear can be deduced,further the wear or failure parts can be determined.A material judgment method based on fuzzy identification of abrasive color was constructed by using the standard database of abrasive color of typical materials.The extraction of abrasive color and automatic identification of typical materials were realized by using K-Means clustering algorithm and the minimum distance classification method based on European distance,which provides a new method for mechanism analysis and determination of wear parts in wear fault monitoring of machine equipment