國立虎尾科技大學 |

Monitoring Multimode Continuous Processes = A Data-Driven Approach /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Monitoring Multimode Continuous Processes/ by Marcos Quiñones-Grueiro, Orestes Llanes-Santiago, Antônio José Silva Neto.
Reminder of title:	A Data-Driven Approach /
Author:	Quiñones-Grueiro, Marcos.
other author:	Llanes-Santiago, Orestes.
Description:	XX, 153 p. 61 illus., 56 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-54738-7
ISBN:	9783030547387

Monitoring Multimode Continuous Processes = A Data-Driven Approach /
Quiñones-Grueiro, Marcos.

Monitoring Multimode Continuous ProcessesA Data-Driven Approach /[electronic resource] :by Marcos Quiñones-Grueiro, Orestes Llanes-Santiago, Antônio José Silva Neto. - 1st ed. 2021. - XX, 153 p. 61 illus., 56 illus. in color.online resource. - Studies in Systems, Decision and Control,3092198-4190 ;. - Studies in Systems, Decision and Control,27.

Data-driven Fault Diagnosis -- Multimode Continuous Processes -- Multimode Continuous Processes Clustering -- Multimode Continuous Processes Monitoring.

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.

ISBN: 9783030547387

Standard No.: 10.1007/978-3-030-54738-7doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Monitoring Multimode Continuous Processes = A Data-Driven Approach /
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