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Schematic of conical bit cutting specimen
Signal features associated with force and vibration data selected for cases 1 to 21
32 points adaptive signal discrimination ADAPTIVE SIGNAL PROCESSING air cutting ASD sys ASD system performance bedding plane best features Bureau of Mines cepstral classes coal-cutting coal-shale conical bit cutting conventional classifiers corresponding to 0.25 cutter tool cutting air cutting and rock cutting coal cutting data cutting direction cutting forces cutting tools cutting-tool force data block data points data window size Depth of cut discriminating between coal domain feature extraction force and vibration force or vibration greatest peak amplitude ICEPAK improve interface linear-cutting apparatus maximum signal amplitude moving data windows Mowrey multiple moving windows neural-network classifiers normal Y-axis Number of peaks Percent partial power perpendicular rock cutting roller cutter sampling frequency sensor shale signal classifiers signal trace Signal type soapstone specimen system performance percent system recognition rates test block tool travel trained and tested U.S. Bureau unknown signals vibration data weight matrices Y-AXlS Feature