| 1. | Study on the tool wear for high speed orthogonal turn - milling
高速正交车铣刀具磨损的研究 |
| 2. | Partial least - squares regressive analysis and modeling for tool wear
刀具磨损的偏最小二乘回归分析与建模 |
| 3. | A peview of tool condition monition monitoring based on machine vision
基于计算机视觉的刀具磨损状态识别技术 |
| 4. | Study to image process of tool wear based on cellular neural network
基于细胞神经网络刀具磨损图像处理的研究 |
| 5. | The method of tool condition monitoring based on ga and moments
基于遗传算法和矩的刀具磨损图象检测技术的应用 |
| 6. | Image processing previously of tool wear based on cellular neural network
基于细胞神经网络刀具磨损图像的预处理 |
| 7. | The effects of vibration parameters on the surface roughness and the tool wear are analyzed
研究了不同振动参数对工件表面粗糙度和刀具磨损量的影响规律。 |
| 8. | In this paper based on image analysis theory the chip shape recognition and tool wear inspecting were analyzed and studied
本文以图像分析理论为基础，针对切屑形态识别和刀具磨损检测进行了研究。 |
| 9. | First , the basic structure of tool condition monitoring system and the monitoring approach of tool wear status are presented
首先介绍了刀具状态监测系统的基本组成，说明了刀具磨损状态的监测步骤。 |
| 10. | Each units can handle four gageports and provide instant feedback on tool wear and lubrication to a control manager station
每台装置都能够处理四个接仪表口，并在刀具磨损和润滑不足时提供及时反馈到控制管理站上。 |
