Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
DETECTION AND DIAGNOSIS OF ABNORMAL BATCH-OPERATIONS BASED ON MULTIWAY PRINCIPAL COMPONENT ANALYSIS - WORLD BATCH FORUM, TORONTO, MAY 1996
Autore:
NOMIKOS P;
Indirizzi:
DUPONT CANADA LTD,RES & DEV KINGSTON ON K7L 5A5 CANADA
Titolo Testata:
ISA transactions
fascicolo: 3, volume: 35, anno: 1996,
pagine: 259 - 266
SICI:
0019-0578(1996)35:3<259:DADOAB>2.0.ZU;2-U
Fonte:
ISI
Lingua:
ENG
Soggetto:
CHARTS;
Keywords:
BATCH; CONTROL CHARTS; CONTRIBUTION PLOTS; MONITORING; MPCA; SPC;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
10
Recensione:
Indirizzi per estratti:
Citazione:
P. Nomikos, "DETECTION AND DIAGNOSIS OF ABNORMAL BATCH-OPERATIONS BASED ON MULTIWAY PRINCIPAL COMPONENT ANALYSIS - WORLD BATCH FORUM, TORONTO, MAY 1996", ISA transactions, 35(3), 1996, pp. 259-266

Abstract

The industrial application of a new monitoring scheme for batch and semi-batch processes is presented. Multi-way Principal Component Analysis is used to analyze the information from the on-line process measurements. The basic idea is to build a statistical model based on processmeasurements from past successful batches, which describes the normaloperation of the process. Subsequently future batches are compared against this model and characterized as normal or abnormal. The algorithms and all the design equations are presented for setting up Statistical Process Control charts which monitor the performance of a batch process. Contribution plots for detected abnormal operations are developed to identify the measurement variables and time periods of abnormal operation. Copyright (C) 1996 Elsevier Science Ltd.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 02/12/20 alle ore 13:53:32