刀具状态的智能监测与诊断对于提高零部件的制造效率和制造精度具有重要的意义,也是当前智能加工技术的主要发展方向.对近年来刀具状态智能监测的研究现状进行了回顾,对智能监测系统中的传感器选择、特征提取、模式识别等关键技术的原理与方法进行了深入分析.在此基础上,对刀具状态监测的应用现状和存在的不足进行了探讨,并对其未来的发展方向进行了展望,以期更好地提高智能状态监测系统的可靠性和适应性,促进刀具监测技术在智能制造系统中的应用与推广.%As one of the main research fields of intelligent machining technology, monitoring and diagnosis of the cut-ting tool condition is of great significance to improve manufacturing efficiency and workpiece precision. Herein, the research status of intelligent monitoring of the tool condition is reviewed. The principle and method of the key technologies in intel-ligent monitoring system including sensor selection, feature extraction and pattern recognition are analyzed in depth. Further, the application status, existing problems and future direction of tool condition monitoring are discussed in details. The progress presented in this paper will be expected to improve the reliability and adaptability of the intelligent condition monitoring sys-tem and promote its application in the intelligent manufacturing system.
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