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首页> 外文期刊>Mechanical systems and signal processing >On-line breakage monitoring of small drills with input impedance of driving motor
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On-line breakage monitoring of small drills with input impedance of driving motor

机译：通过驱动电机的输入阻抗在线监测小钻头

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摘要

Input current of driving motor has been employed with success as monitoring signature for tool breakage and wear detection in manufacturing processes for more than a decade. In micro-drilling, however, the accuracy of current signature downgrades significantly owing to the disturbances often seen in electrical power supply. This paper reports the investigation results on the effectiveness of using the input impedance of the spindle motor as monitoring signature for detecting drill breakage in micro-drilling. As input impedance is an inherent property of a dynamic system and independent upon the system input such as voltage or current fluctuations and thus avoids the difficulties faced by the methods using current signature. Experimental results show that impedance signature reflects torque variations well and indicates health conditions of drills properly during micro-drilling processes. When associated with an artificial neural network to recognise its waveform, impedance signature is capable of identifying drill breakages promptly and accurately.
机译：十多年来，驱动电动机的输入电流已成功地用作监视刀具破损和磨损检测的信号。但是，在微钻孔中，由于在电源中经常会出现干扰，因此电流信号的准确性会大大降低。本文报告了有关使用主轴电机的输入阻抗作为监测特征以检测微钻中钻头破损有效性的调查结果。由于输入阻抗是动态系统的固有属性，并且与系统输入（例如电压或电流波动）无关，因此避免了使用电流签名的方法所面临的困难。实验结果表明，阻抗信号能够很好地反映扭矩变化，并在微钻过程中正确指示钻头的健康状况。当与人工神经网络关联以识别其波形时，阻抗签名能够迅速而准确地识别钻头破损。

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