An intelligent AE sensor for the monitoring of finish machining process
An intelligent AE sensor for the monitoring of finish machining process
复制标题
用于监控精加工过程的智能AE传感器
DOI：
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复制
发表时间：
1999
期刊：
影响因子：
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通讯作者：
L. Monostori
中科院分区：
文献类型：
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作者：
S. Dolinsek;J. Kopac;Z. Viharos;L. Monostori
介绍了基于声发射（AE）信号的切削过程传感的最新成果，以及精加工过程监测模型进一步发展的一些特点。由于声发射数据存在非线性、影响参数多、信息缺失等问题，选择人工神经网络作为监测决策工具。基于ae的表面粗糙度预测的精度问题——由于数据的相互依赖性——需要一个特殊的程序来建立神经网络模型。这种方法的最终目的是改进学习或大大减少错误预测。监测模型的进一步发展目标是建立一个所谓的智能传感器，它应该能够执行信号调理和特征提取过程。
Presents the latest results of sensing the cutting process on the basis of acoustic emission (AE) signals and some particularities in the further development of a monitoring model for the finish turning process. Due to nonlinearity, the large number of influencing parameters and missing information in AE data, artificial neural networks were chosen as a monitoring decision tool. The problem of accuracy in predicting the surface roughness on the basis of AE-because of the mutual interdependence of the data-requires a special procedure for building a neural network model. The final aim of such an approach is presented as improvements in learning or considerable reduction in error prediction. Further development of the monitoring model has the goal of building a so-called intelligent sensor, which should be able to perform the signal conditioning and feature extraction process.