论文部分内容阅读
建立了基于多传感器融合技术的智能磨削加工监测与控制系统。针对加工过程中振动信号和声发射信号的特点，利用小波分析技术提取信号深层特征，以识别磨削过程状态。采用自适应跟踪控制算法提高系统对非圆表面轴类磨削的跟踪精度。
The intelligent grinding machining monitoring and control system based on multi-sensor fusion technology is established. Aiming at the characteristics of vibration signals and acoustic emission signals in the process of processing, the signal deep features are extracted by wavelet analysis to identify the state of grinding process. Using adaptive tracking control algorithm to improve the system of non-circular surface grinding shaft tracking accuracy.