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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.
| Autorius: | Marcos Quiñones-Grueiro, Antônio José Silva Neto, Orestes Llanes-Santiago, |
| Serija: | Studies in Systems, Decision and Control |
| Leidėjas: | Springer Nature Switzerland |
| Išleidimo metai: | 2021 |
| Knygos puslapių skaičius: | 176 |
| ISBN-10: | 303054740X |
| ISBN-13: | 9783030547400 |
| Formatas: | 235 x 155 x 10 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Monitoring Multimode Continuous Processes: A Data-Driven Approach“
