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讨论利用外圆切入磨削循环过程中，初磨阶段持续的时间和工件每转实际磨削深度变化规律与砂轮锋利度密切相关这一特性，通过建立自适应共振网络（ART）模型对磨削过程工件实际每转磨削深度变化规律的信息进行分类处理，实现磨削过程砂轮锋利度的在线识别。对实际磨削过程中多种工艺参数变化的情况下砂轮锋利度进行在线识别，证实对复杂的磨削过程，可以有效地识别出砂轮的锋利度。
Discusses the use of the characteristics of grinding wheel sharpness during the cutting cycle, the duration of the initial grinding stage and the actual grinding depth change of the workpiece per revolution, and establishes the adaptive resonance network (ART) model for grinding Process the actual workpiece per revolution grinding depth changes in the classification of information processing to achieve the grinding process of grinding wheel sharpness online identification. The on-line identification of the sharpness of the grinding wheel under various process parameters during the actual grinding process confirms that the sharpness of the grinding wheel can be effectively identified for the complicated grinding process.