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。
In this paper based on image analysis theory the chip shape recognition and tool wear inspecting were analyzed and studied.
针对传统刀具磨损检测的缺点，设计了一套结合图像处理的方法来检测磨损的方案。
A method combined with image manipulation is contrived to detect the project of wear, which aim at the shortage of inspection of conventional tools wear.
本文研究了一种实现颤振切削自动化的刀具磨损检测方法。实际应用表明，这种方法收到了良好的效果。
The article discusses an automatic tool wear measuring method during chatter cutting, practical application shows very good results.
刀具磨损、破损自动检测技术，在现代制造行业具有广泛的应用前景。
The automatic measuring technique of tool breakage and wear will be more and more important in production.
针对异型螺杆铣削加工，采用振动信号特征值作为检测刀具磨损的参量。
The characteristic values of vibration signals were used as testing parameters of tool wear for milling special shaped spiral rods.
本文结合实际工程对运用掘进参数检测刀具磨损的方法进行了探索研究。
The method estimating the cutter wear by analyzing the tunneling parameters is presented in this paper.
本方法具有自动化程度高、判决速度快等优点，并对刀具磨损三维形态的识别和检测提供了一定的基础。
The method has high automation degree and quick judgment speed and offers definite foundation of further processing three dimensions state of tool wear.
通过对硬质合金刀具前刀面月牙洼磨损图像特征的分析，设计了检测磨损的算法，并开发了相关软件。
Through the analysis of image characteristic of crater wear in kentanium tool front face, arithmetic monitoring wear is designed, correlative software is exploited.
经过实例检验，根据二维特征检测刀具磨损的最大误差在7.4%之内，可满足一般工程要求。
The maximal error is 7.4% in terms of two-dimension characteristic monitoring tool wear and the method can meet the need of generic project by the example.
文中介绍了加工中检测刀具磨损的概况及各种检测方法，并着重介绍了几种典型的检测法，还对研制加工中检测刀具磨损技术的予测作了介绍。
The article gives a general review of in-process tool wear measurement and various sensing processes, emphasizes on some typical measuring methods and also forecast the research development.
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。
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。
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.
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