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，具体参考金属加工过程。这项研究致力于通过混沌理论建立监控的形式化，并将这些形式化与神经网络相结合，以便在车间安装有效、实用的监控系统。研究的重点完全脱离了传感器数据融合在监测中的传统思想。这是一种非常新颖的尝试，它使用一种分析方法来弥合“硬”制造工艺问题和“软”制造信息问题之间的差距，该方法具有作为这两个领域之间的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.