Monitoring Multimode Continuous Processes: A Data-Driven Approach
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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- Full title :Monitoring Multimode Continuous Processes : A Data-Driven Approach / Marcos Quiñones-Grueiro [aut]; Orestes Llanes-Santiago [aut]; Antônio José Silva Neto [aut]
Summary
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.
Read More ↓Edition Statements
- Publication Date:2021
Publication Statements
- Publisher(s):Springer International Publishing
- Place of Publication:Cham
- Language:eng
- Publication Date:2021
The Physical Object
- Description:1 online resource
Edition Identifiers
- ISBN:9783030547387, 3030547388, 9783030547394, 3030547396, 9783030547400, 303054740X, 9783030547370, 303054737X
- DOI:10.1007/978-3-030-54738-7
- oclc:on1346733479
Table of Contents
Data-driven Fault Diagnosis -- Multimode Continuous Processes -- Multimode Continuous Processes Clustering -- Multimode Continuous Processes Monitoring.
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