Filter-Based Fault Diagnosis and Remaining Useful Life Prediction
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:ePUB 3
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Produktdetails
Format
ePUB 3
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
10.02.2023
Verlag
Taylor & Francis eBooksSeitenzahl
290 (Printausgabe)
Auflage
1. Auflage
Sprache
Englisch
EAN
9781000835960
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 diagnosis.
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