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Evaluation of On-line Signals for Roundness Monitoring

机译：对圆度监测的在线信号的评估

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摘要

The cutting forces, mechanical vibration and acoustic emission signals obtained using dynamometer, accelerometer, and acoustic emissions sensors have been extensively used to monitor several aspects of the cutting processes in automated machining operations. This study assesses the significance of these on-line signals for the real-time monitoring and diagnosis of the roundness error in automated cylindrical turning processes. The system developed is based on predictive models obtained by regression techniques employing the orthogonal components of the cutting forces, mechanical vibration and acoustic emissions, and combines all three types of sensors into one system. This monitoring system enables the on-line monitoring and diagnosis of roundness error by registering, visualizing, and characterizing the signals obtained during the machining process.
机译：使用测功机，加速度计和声发射传感器获得的切割力，机械振动和声发射信号已被广泛地用于监测自动加工操作中切割过程的若干方面。该研究评估了这些在线信号对自动圆柱形转动过程中圆度误差的实时监测和诊断的重要性。开发的系统基于通过采用切割力，机械振动和声排放的正交分量的回归技术获得的预测模型，并将所有三种类型的传感器结合到一个系统中。该监控系统通过注册，可视化和表征在加工过程中获得的信号来实现圆度误差的在线监测和诊断。

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