SGER: Development of Theory of Chaos Based Machine Tool Monitoring System

本研究的目的是研究混沌理论在机床监控中的适用性，具体以金属切削过程为例。该研究致力于通过混沌理论开发监测的形式，并将这些形式与神经网络相结合，以便在车间安装有效、实用的监测系统。该研究的重点与传统的传感器数据融合监测思想完全脱节。这是一个非常新颖的尝试，利用分析方法弥合“硬”制造过程问题和“软”制造信息问题之间的差距，具有作为这两个领域之间集成元素的巨大潜力。

The objective of this research is to study the applicability of the theory of chaos to machine tools monitoring with specific reference to the metal cutting process. The research strives to develop formalisms for monitoring via the theory of chaos and integrate these formalisms with neural networks so that effective, practical monitoring systems can be installed on the shop floor. The focus of the research is completely tangential to the conventional thinking on sensor data fusion in monitoring. It is a very novel attempt to bridge the gap between "hard" manufacturing process issues and "soft" manufacturing information issues using an analytical approach with great potential for serving as an integration element between these two domains.