刀具切削状态模糊性及识别方法

Fuzzy Characteristics and Fuzzy Recognition for Cutting Tool States

目的论述刀具切削状态识别过程中存在的模糊问题及识别方法．方法对刀具切削状态模糊性进行理论分析，将模糊划分理论与神经网络识别方法相结合，给出神经网络非线性映射作用一般扩展原理的推论以及模糊模式识别及推理规则；结果对不同切削负载，给出相应模糊推理机制和模糊判别规则．结论用实例对比方法证明了刀具切削状态识别过程中存在的模糊性问题，以及所述方法的正确性、可靠性和实用性，为刀具切削状态智能识别奠定理论基础．

Aim\ To present the problem of fuzzy characteristics and fuzzy recognition in monitoring cutting tool state Methods\ With combination of fuzzy division theory and neural network identification methods, deduction of general expanding theorem upon condition of nonlinear mapping function of artificial neural networks and fuzzy division and inference rules in identifying process were discussed Results\ For different cutting loads, corresponding fuzzy inference mechanisms and identification rules were given Conclusion\ Examples show the corectness, the reliability and the practicality of the method A theoretical basis is provided for identifying cutting tools state intelligently