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作 者:MAO XinYong LIU HongQi LI Bin
机构地区:[1]National NC System Engineering and Research Center,Huazhong University of Science and Technology,Wuhan 430074,China [2]State Key Laboratory of Digital Manufacturing Equipment and Technology,Huazhong University of Science and Technology,Wuhan 430074,China
出 处:《Science China(Technological Sciences)》2009年第10期2810-2813,共4页中国科学(技术科学英文版)
基 金:Supported by the State Key Laboratory of Digital Manufacturing Equipment and Technology of China, the National Basic Research Program of China ("973" Project) (Grant No. 2005CB724100);the National Natural Science Foundation of China (Grant No. 50875098)
摘 要:The vast majority of tool condition monitoring systems use the motor current instead of the cutting force as the predictor signal. The measured motor current signal is time-dependant and instable. It is difficult to detect the cutting force token signal from such motor current signal. This paper presents a method that uses the wavelet transforms to reconstruct the cutting force token signal from the current signal based on the time frequency analysis of the cutting force signal. The result of the cutting force measurement experiment shows that the proposed reconstruct method could be used to analyze the spindle current and monitor the time-varying cutting force.The vast majority of tool condition monitoring systems use the motor current instead of the cutting force as the predictor signal. The measured motor current signal is time-dependant and instable. It is difficult to detect the cutting force token signal from such motor current signal. This paper presents a method that uses the wavelet transforms to reconstruct the cutting force token signal from the current signal based on the time frequency analysis of the cutting force signal. The result of the cutting force measurement experiment shows that the proposed reconstruct method could be used to analyze the spindle current and monitor the time-varying cutting force.
关 键 词:tool monitoring SPINDLE current CUTTING FORCE WAVELET TRANSFORM
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