• Title/Summary/Keyword: intellignet wear

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Development of a Multiple Monitioring System for Intelligence of a Machine Tool -Application to Drilling Process- (공작기계 지능화를 위한 다중 감시 시스템의 개발-드릴가공에의 적용-)

  • Kim, H.Y.;Ahn, J.H.
    • Journal of the Korean Society for Precision Engineering
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    • v.10 no.4
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    • pp.142-151
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    • 1993

  • An intelligent mulitiple monitoring system to monitor tool/machining states synthetically was proposed and developed. It consists of 2 fundamental subsystems : the multiple sensor detection unit and the intellignet integrated diagnosis unit. Three signals, that is, spindle motor current, Z-axis motor current, and machining sound were adopted to detect tool/machining states more reliably. Based on the multiple sensor information, the diagnosis unit judges either tool breakage or degree of tool wear state using fuzzy reasoning. Tool breakage is diagnosed by the level of spindle/z-axis motor current. Tool wear is diagnosed by both the result of fuzzy pattern recognition for motor currents and the result of pattern matching for machining sound. Fuzzy c-means algorithm was used for fuzzy pattern recognition. Experiments carried out for drill operation in the machining center have shown that the developed system monitors abnormal drill/states drilling very reliably.

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