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Cement Mill

Grinding burn monitoring is of great importance to guarantee the surface integrity of the workpiece. Existing methods monitor overall signal variation. However the signals produced by metal burn are always weak. Therefore the detection rate of grinding burn still needs to be improved. The paper presents a novel grinding burn detection method basing on acoustic emission AE signals.

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