AN INTELLIGENT COMPOSITE SYSTEM FOR STATISTICAL PROCESS-CONTROL

被引：3

作者：

SMITH, AE

YAZICI, H

机构：

[1] PORTLAND STATE UNIV,PORTLAND,OR 97207

[2] UNIV PITTSBURGH,DEPT IND ENGN,PITTSBURGH,PA 15261

来源：

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 1992年 / 5卷 / 06期

关键词：

STATISTICAL PROCESS CONTROL; NEURAL NETWORKS; EXPERT SYSTEMS; INTELLIGENT PROCESS CONTROL; PLASTIC EXTRUSION; QUALITY CONTROL; KNOWLEDGE-BASED SYSTEMS;

D O I：

10.1016/0952-1976(92)90028-I

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Combining statistical process control, artificial neural networks and an expert system for the intelligent analysis and control of a plastic extruder facility is described. Statistical methodology is compared and contrasted to the exploratory neural network technique, which learns to relate and classify dependent production variables based on measurements taken on-line during the process. Integrating the neural network analysis into a composite control system using an expert system is presented.

引用

页码：519 / 526

页数：8

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