Applied Intelligence for Automated Manufacturing Processing Operations

自动化制造加工操作的应用智能

• 批准号: 9313947
• 负责人: Benito Fernandez
• 金额: $ 27.09万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-03-01 至 1998-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9313947&HistoricalAwards=false
• 关键词: Applied; Intelligence; Automated; Manufacturing; Processing

9313947 Fernandez According to the report of the Office of Science and Technology Program, Executive Office of the President on National Critical Technologies, "Intelligent processing equipment is the foundation of the shop project is to investigate schemes to use applied intelligence in automated manufacturing processing operations like Computer Numerical Control machine tools. The term "applied intelligence" refers to the technologies: expert (knowledge-based) systems, fuzzy logic systems, and artificial neural system (ANS). These supporting technologies combined with robust control and automated modeling techniques offer a tremendous potential when confronted with unstructured environments like manufacturing processes. Real-world (unstructured) operating conditions, such as those found in manufacturing processes, are characterized by noisy sensor and actuators, as well as process noise, drifts, system faults, and external disturbances. This project will construct a "nervous system" for a machining center that will observe various states of the machining system, :learn" the dynamics of a machining process, construct corrective codes, and initiate control. The approach will incorporate the "experience" into a knowledge base leaving an insightful trace about the signal processing capabilities of artificial neural networks, knowledge representation tools like fuzzy systems, and robust nonlinear control techniques like sliding mode control, is designed to be "intelligent". *** v s t M ( 9313947 Fernandez According to the report of the Office of Science and Technology Program, Executive Office of the President o f u a f $ ( F / f u f 1 Times Symbol " Helvetica 5 Courier New " " " h B e B e ( S R:\WW20USER\ABSTRACT.DOT abstract Alicia E. Harris Alicia E. Harris

9313947费尔南德斯根据国家关键技术总统执行办公室科学技术计划办公室的报告，“智能加工设备是车间项目的基础，是调查在自动化制造加工操作中使用应用智能的方案，如计算机数控机床。 术语“应用智能”指的是以下技术：专家（基于知识的）系统，模糊逻辑系统和人工神经系统（ANS）。 这些支持技术与强大的控制和自动建模技术相结合，在面对制造过程等非结构化环境时提供了巨大的潜力。 真实世界（非结构化）的操作条件，如在制造过程中发现的那些，其特征在于噪声传感器和执行器，以及过程噪声，漂移，系统故障和外部干扰。 该项目将为加工中心构建一个“神经系统”，该系统将观察加工系统的各种状态：学习加工过程的动态，构建纠正代码，并启动控制。 该方法将“经验”纳入知识库中，对人工神经网络的信号处理能力留下深刻的痕迹，知识表示工具，如模糊系统，以及鲁棒非线性控制技术，如滑模控制，被设计为“智能”。 *** v S t M 费尔南德斯根据美国总统执行办公室科技计划办公室的报告， F u 一 F $ ( F / F u F 1 倍 Symbol“Helvetica 5新 " " " H B e B e ( S R：\WW20USER\ABSTRACT.DOT摘要 艾丽西娅·E哈里斯·艾丽西娅·E.哈里斯