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Applied Intelligence for Automated Manufacturing Processing Operations

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
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1994
资助国家:
美国
项目状态:
已结题
起止时间:
1994-03-01 至 1998-02-28

项目摘要

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中文摘要
翻译
9313947 Fernandez根据国家关键技术总统执行办公室科技计划办公室的报告,“智能加工设备是车间项目的基础,是研究在计算机数控机床等自动化制造加工操作中使用应用智能的方案。”“应用智能”一词是指专家(基于知识的)系统、模糊逻辑系统和人工神经系统(ANS)等技术。这些支持技术与鲁棒控制和自动化建模技术相结合,在面对制造过程等非结构化环境时提供了巨大的潜力。现实世界(非结构化)的操作条件,例如在制造过程中发现的那些,其特征是有噪声的传感器和执行器,以及过程噪声、漂移、系统故障和外部干扰。本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,学习加工过程的动力学,构建纠正代码,并启动控制。该方法将“经验”整合到知识库中,在人工神经网络的信号处理能力、模糊系统等知识表示工具和滑模控制等鲁棒非线性控制技术方面留下深刻的痕迹,旨在实现“智能”。根据科学和技术计划办公室的报告,总统的行政办公室一个f$ (F / F / F 1 Times Symbol " Helvetica 5 Courier New " " " h B e B e (S R:\WW20USER\ABSTRACT。DOT摘要Alicia E. Harris
英文摘要
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
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I-Corps: Chaotic Hybrid Encryption Communication Kit (CHECK)
  • 批准号:
    1620866
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2016
  • 负责人:
    Benito Fernandez
  • 依托单位:
Conference: Sian ka'an - The First Joint US-Mexico Inter- national Workshop on Neural Networks & Neurocontrol to be held Sept. 5-15, 1995 in Playa del Carmen, Quintana Roo,
  • 批准号:
    9523755
  • 项目类别:
    Standard Grant
  • 资助金额:
    $3.0万
  • 财政年份:
    1995
  • 负责人:
    Benito Fernandez
  • 依托单位:
Adaptive Critic Networks for Real-time Fault Diagnosis in Electric Power Production
  • 批准号:
    9113623
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $19.84万
  • 财政年份:
    1991
  • 负责人:
    Benito Fernandez
  • 依托单位:
海外基金