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Monitoring drill wear is a major topic in automated manufacturing operations. This paper presents an effective drill wear feature identification scheme based on robust clustering techniques. Three types of drill wear (namely; chisel wear, chipped edge and flank wear) are artificially induced on the drill point. The drill cutting edge wear related features are extracted experimentally by processing...
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