A COMPOSITE REPRESENTATION OF PULP QUALITY

被引:14
作者
BRODERICK, G
PARIS, J
VALADE, JL
机构
[1] ECOLE POLYTECH,MONTREAL,PQ H3C 3A7,CANADA
[2] UNIV QUEBEC,TROIS RIVIERES,PQ GA9 5H7,CANADA
关键词
D O I
10.1016/0169-7439(95)00005-H
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Principal component analysis (PCA) performed on data from pilot scale chemimechanical (CMP) pulping trials indicates that over 90% of the variation in 11 handsheet properties can be expressed in terms of only 4 composite variables. The relationships between the original properties and the new composite properties are displayed graphically using a biplot of the PCA scores. These techniques are combined to construct a chart capable of monitoring changes in a large number of quality responses simultaneously. Model accuracy can be monitored on the same chart resulting in a tool which will self-diagnose as well as offer a powerful overview of the process.
引用
收藏
页码:19 / 28
页数:10
相关论文
共 13 条
[1]  
ALLEN DM, 1971, 23 U KENT DEP STAT T
[2]  
[Anonymous], 2005, USERS GUIDE PRINCIPA
[3]   BIPLOT GRAPHIC DISPLAY OF MATRICES WITH APPLICATION TO PRINCIPAL COMPONENT ANALYSIS [J].
GABRIEL, KR .
BIOMETRIKA, 1971, 58 (03) :453-+
[4]   PRINCIPAL COMPONENTS AND FACTOR-ANALYSIS .1. PRINCIPAL COMPONENTS [J].
JACKSON, JE .
JOURNAL OF QUALITY TECHNOLOGY, 1980, 12 (04) :201-213
[5]   CONTROL PROCEDURES FOR RESIDUALS ASSOCIATED WITH PRINCIPAL COMPONENT ANALYSIS [J].
JACKSON, JE ;
MUDHOLKAR, GS .
TECHNOMETRICS, 1979, 21 (03) :341-349
[6]  
JOHNSON RA, 1992, APPLIED MULTIVARIATE, P126
[7]   MULTIVARIATE STATISTICAL MONITORING OF PROCESS OPERATING PERFORMANCE [J].
KRESTA, JV ;
MACGREGOR, JF ;
MARLIN, TE .
CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 1991, 69 (01) :35-47
[8]  
NOBLEZA GC, 1991, PPR859 PULP PAP RES
[9]  
STRAND BC, 1987, NOV TAPPI PULP C P W, P61
[10]  
STRAND BC, 1989, INT MMECH PULP C P H, P362