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This book examines recent methods for data-driven fault diagnosis
of multimode continuous processes. It formalizes, generalizes, and
systematically presents the main concepts, and approaches required
to design fault diagnosis methods for multimode continuous
processes. The book provides both theoretical and practical tools
to help readers address the fault diagnosis problem by drawing
data-driven methods from at least three different areas:
statistics, unsupervised, and supervised learning.
This book examines recent methods for data-driven fault diagnosis
of multimode continuous processes. It formalizes, generalizes, and
systematically presents the main concepts, and approaches required
to design fault diagnosis methods for multimode continuous
processes. The book provides both theoretical and practical tools
to help readers address the fault diagnosis problem by drawing
data-driven methods from at least three different areas:
statistics, unsupervised, and supervised learning.
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Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
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