NEW METHODS OF PROCESS MODEL DEVELOPMENT FOR COMPUTER-AIDED QUALITY SECURITY AND FORECAST IN PARTICLEBOARD PRODUCTION - DATA CONTROL MANAGEMENT AND REGRESSION-ANALYSIS

被引：0

作者：

RITTER ^{[1
]}

SCHWEITZER, F ^{[1
]}

机构：

[1] TECH UNIV DRESDEN,INST HOLZ & FASERWERKSTOFFTECH,O-8027 DRESDEN,GERMANY

来源：

HOLZ ALS ROH-UND WERKSTOFF | 1992年 / 50卷 / 02期

关键词：

D O I：

暂无

中图分类号：

TB3 [工程材料学]; TS [轻工业、手工业、生活服务业];

学科分类号：

0805 ; 080502 ; 0822 ;

摘要：

The paper is concerned with the development of statistical process models for the hot press of a particleboard plant. These models inaugurate possibilities for reliable forecast of particleboard quality and the diversion of recommendations for hot press control. This first part of the study is concerned with data control management and the results of multiple regression analysis, a following part will describe the development of a classification model and the diversion of a process control conception.

引用

页码：62 / 66

页数：5

共 7 条

[1] NEW METHODS OF PROCESS MODEL DEVELOPMENT FOR COMPUTER-AIDED QUALITY SECURITY AND FORECAST IN PARTICLEBOARD PRODUCTION - CLASSIFICATION MODEL AND CONCEPTION OF PRODUCTION PROCESS-CONTROL
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[J]. HOLZ ALS ROH-UND WERKSTOFF, 1992, 50 (03) : 101 - 105
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Chen, Zhehan
[J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 92 (5-8): : 1967 - 1977
[6] A digital metrology process model (MPM) for measuring planning and data analysis and its application with a computer-aided system
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[J]. The International Journal of Advanced Manufacturing Technology, 2017, 92 : 1967 - 1977
[7] A new approach for quality prediction and control of multistage production and manufacturing process based on Big Data analysis and Neural Networks
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[J]. ADVANCES IN PRODUCTION ENGINEERING & MANAGEMENT, 2022, 17 (03): : 326 - 338

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