TOOL CONDITION MONITORING USING ACOUSTIC EMISSION, SURFACE ROUGHNESS AND GROWING CELL STRUCTURES NEURAL NETWORK

ISSN： 1091-0344

Source： Machining Science and Technology, Vol.16, Iss.4, 2012-12, pp. : 653-676

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