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

SGER：基于混沌理论的机床监控系统的发展

• 批准号: 9223181
• 负责人: Soundar Kumara
• 金额: $ 2.5万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-11-01 至 1994-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9223181&HistoricalAwards=false
• 关键词: SGER; Development; Theory; Chaos; Based

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.

本研究的目的是研究 将混沌理论应用于机床的状态监测， 参考金属切削工艺。 该研究致力于 通过混沌理论开发用于监测的形式主义， 将这些形式主义与神经网络相结合， 可以在车间安装实用的监控系统。 研究的重点完全与 监测中传感器数据融合的传统思想。 是 一个非常新颖的尝试，以弥合“硬”制造业之间的差距， 过程问题和“软”制造信息问题， 一种具有巨大潜力的分析方法， 这两个域之间的集成元件。