摘要
介绍了一种采集旋转工件图像的光学监测系统,提出通过二维小波分析工件纹理图像,提取纹理特征,设计了基于动态和静态神经网络的刀具状态识别系统,该系统可用于自动化加工中刀具诊断,仿真证明了其有效性.
An optional monitoring system is introduced for turning a work piece,through the 2 - D texturebased wavelet image processing. Likewise, a tool condition monitoring system is devised in the cutting tool diagnosis with the validity of the theoretical algorithm in automatic processing.
出处
《石家庄职业技术学院学报》
2006年第6期3-6,共4页
Journal of Shijiazhuang College of Applied Technology
关键词
刀具状态监测
图像处理
纹理分析
神经网络
tool conditioning monitoring
image processing
textural analysis
neural network
