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Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes
Hoofdkenmerken
Auteur: Russell, Evan L.; Chiang, Leo
Titel: Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes
Uitgever: Springer London Ltd
ISBN: 9781852332587
ISBN boekversie: 9781447104094
Serie: Advances in Industrial Control
Editie: Softcover reprint of the original 1st ed. 2000
Land van oorsprong: United Kingdom
Prijs: € 124,44
Verschijningsdatum: 25-02-2000
Bericht: Langere levertijd (2-3 weken)
Inhoudelijke kenmerken
Leesniveau: Undergraduate
Categorie: Data capture & analysis
Geillustreerd: 41 Illustrations, black and white; XIII, 192 p. 41 illus.
Dewey code: 660.2815
Technische kenmerken
Verschijningsvorm: Paperback / softback
Paginas: 192
Hoogte mm.: 235
Breedte mm.: 155
Gewicht gr.: 1050
 

Inhoud:

Process-monitoring techniques that have been most effective in practice are based on models constructed almost entirely from process data. The goal of this book is to present the theoretical background and practical techniques for data-driven process monitoring.
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