Monitoring Multimode Continuous Processes - A Data-Driven Approach (Paperback, 1st ed. 2021)

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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.

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Product Description

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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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Studies in Systems, Decision and Control, 309

Release date

August 2021

Availability

Expected to ship within 10 - 15 working days

First published

2021

Authors

, ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

153

Edition

1st ed. 2021

ISBN-13

978-3-03-054740-0

Barcode

9783030547400

Categories

LSN

3-03-054740-X



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