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Detection Technique of Fault Phenomena Using Power Parameters in Grinding Process  

Kwak, Jae-Seob (School of mechanical engineering, Pukyong National University)
Ha, Man-Kyung (School of mechanical engineering, Pukyong National University)
Publication Information
International Journal of Precision Engineering and Manufacturing / v.3, no.1, 2002 , pp. 5-12 More about this Journal
Abstract
The grinding process has been mainly used fur finishing metal products as final machining stage. But chatter vibration and bum of a workpiece have a bad effect on the machined surface and should be detected in modern grinding process. This paper deals with a fault detection of the cylindrical plunge grinding process by power parameters. During the grinding process the power signals of an induced motor were sampled and used to determine the relationship between fault and change of power parameters. A neural network was used far detecting the grinding fault and an influence of power parameters to the grinding fault was analyzed.
Keywords
Grinding process; Power parameters; Fault detection; Neural network;
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