UID:
almahu_9948612954102882
Format:
XX, 153 p. 61 illus., 56 illus. in color.
,
online resource.
Edition:
1st ed. 2021.
ISBN:
9783030547387
Series Statement:
Studies in Systems, Decision and Control, 309
Content:
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.
Note:
Data-driven Fault Diagnosis -- Multimode Continuous Processes -- Multimode Continuous Processes Clustering -- Multimode Continuous Processes Monitoring.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030547370
Additional Edition:
Printed edition: ISBN 9783030547394
Additional Edition:
Printed edition: ISBN 9783030547400
Language:
English
DOI:
10.1007/978-3-030-54738-7
URL:
https://doi.org/10.1007/978-3-030-54738-7
