CAJ | 학술논문

根据数控机床伺服进给系统强机电耦合特征，探索无传感器信息特征提取技术，提出一种伺服进给系统早期微弱故障特征识别的硬件调制技术；针对无传感器信息的非线性和非平稳特征，采用EMD和EEMD方法对系统机械传动部件进行状态监测和故障诊断。文中的研究为数控机床伺服进给系统的无传感器信息性能评估奠定了基础。
근거수공궤상사복진급계통강궤전우합특정，탐색무전감기신식특정제취기술，제출일충사복진급계통조기미약고장특정식별적경건조제기술；침대무전감기신식적비선성화비평은특정，채용EMD화EEMD방법대계통궤계전동부건진행상태감측화고장진단。문중적연구위수공궤상사복진급계통적무전감기신식성능평고전정료기출。
According to the strong electromechanical coupling characteristic of numerical control machine tool driving system, sensorless information characteristic obtaining technology was discussed,and a kind of hardware modulating technology was put forward for incipient fault detection of driving system.Aiming at the non-linear and non-stationary characteristics of sensorless information, EMD and EEMD methods were proposed to monitor the state and detect the faults of the driving system.This is the base of numerical control machine tool driving system performance evaluation by sensorless information.