刀具磨损状态监测技术研究现状

Research status of tool wear monitoring technology

随着工业4.0时代的到来,智能化监测技术在智能制造业领域变得愈加重要。本文围绕近年来国内外刀具磨损状态监测技术,分别从信号采集、特征提取、模式识别三个方面展开综述,对检测信号的优点与不足加以比较与归纳,论述了信号处理与提取技术的原理。阐述目前刀具磨损状态监测研究及应用难点,并展望了未来发展趋势,同时期望通过引入以深度学习为代表的现代算法,以提高刀具磨损的鲁棒性和准确度。

With the advent of the Industry 4.0 era,intelligent monitoring technology has become increasingly important in the field of smart manufacturing.In this paper,the technology of tool wear monitoring at home and abroad in recent years were reviewed from three aspects:signal monitoring method,signal processing and extraction,and state recognition,the advantages and disadvantages of the detection signal were compared and summarized,and the principle of signal processing and extraction technology was discussed.The research and application difficulties of tool wear condition monitoring are analyzed,and the future research directions were prospected.At the same time,the modern algorithms represented by deep learning were expected to be introduced,in order to improve the robustness and accuracy of tool wear.