Filter-based fault diagnosis and remaining useful prediction / Yong Zhang, Zidong Wang, Ye Yuan

Zhang, Yong [VerfasserIn]

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: Boca Raton : CRC Press, 2023Beschreibung: 1 Online-Ressource (296 pages) : illustrationsISBN:

9781003330998
1003330991
9781000835946
1000835944
1000835960
9781000835960
9781032362533
1032362537

Schlagwörter:

Andere physische Formen: Erscheint auch als: Filter-based fault diagnosis and remaining useful prediction. Druck-Ausgabe Boca Raton : CRC Press, 2023DDC-Klassifikation:

620.0044 23/eng/20230207

LOC-Klassifikation:

TA169.6

Online-Ressourcen:

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Zusammenfassung: This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosisPPN: PPN: 1882635914Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB

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