tool wear estimation 刀具磨损估计
With continuous wavelet transform as feature extraction method and neural network as classifier,a transmission gear wear estimation system is designed and applied in estimating the wear condition of the gear.
以连续小波变换作为变速箱齿轮的磨损特征向量的提取方法、以神经网络作为分类器，设计了变速箱齿轮的磨损估计系统，并应用于变速箱齿轮的磨损状况估计。
参考来源 - 小波分析在变速箱齿轮故障诊断中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
New method for online tool wear estimation in spiral rod numerical controlled milling is presented.
介绍了一种在线估算螺杆数控铣削中刀具磨损量的新方法。
Through measuring the electric current signal, the soft sensing model used for tool wear estimation based on stochastic fuzzy neural network(SFNN) is presented in this paper.
本文通过检测电流信号基于随机模糊神经网络建立了刀具磨损量的软测量模型。
Thus, the wear depth estimation could potentially include the initial nonsphericity.
然而，因此磨损测量的深度可能潜在的包含了最初的误差。
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