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Cover: 9783658424794 | Condition Monitoring and Nonlinear Frequency Analysis Based Fault...
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Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems
Taschenbuch von Hogir Rafiq
Sprache: Englisch

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Beschreibung
Hogir Rafiq proposes two approaches, the signal processing based condition monitoring approaches with applications to fault detection in gear systems, and application of deep mathematical and system theoretical methods to fault detection. The author develops the multivariate empirical mode decomposition (MEMD) algorithm to enhance the capability of extracting fault features and theoretical problems in nonlinear frequency analysis methods, respectively. The effectiveness has been demonstrated by an experimental study on a wind turbine gearbox test rig.
Hogir Rafiq proposes two approaches, the signal processing based condition monitoring approaches with applications to fault detection in gear systems, and application of deep mathematical and system theoretical methods to fault detection. The author develops the multivariate empirical mode decomposition (MEMD) algorithm to enhance the capability of extracting fault features and theoretical problems in nonlinear frequency analysis methods, respectively. The effectiveness has been demonstrated by an experimental study on a wind turbine gearbox test rig.
Über den Autor
Hogir Rafiq received his Ph.D. degree at the Institute of Automatic Control and Complex Systems (AKS), Faculty of Engineering, University of Duisburg-Essen, Germany, in 2023, and his M.Sc. degree in Control and Systems Engineering at the department of Automatic Control and Systems Engineering (ACSE), The University of Sheffield, UK, in 2012. His research interests include condition monitoring, signal processing and data-driven fault diagnosis and nonlinear frequency analysis.
Inhaltsverzeichnis
Introduction.- The basics and kinematics of gears.- Vibration signal-based analysis for gear
faults.- Frequency domain analysis for nonlinear systems.- Development of advanced signal processing based fault diagnosis.- Estimation of NOFRFs based parametric characteristic analysis.- Conclusions and future work.- Bibliography.
Details
Erscheinungsjahr: 2023
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xxi
191 S.
3 s/w Illustr.
35 farbige Illustr.
191 p. 38 illus.
35 illus. in color. Textbook for German language market.
ISBN-13: 9783658424794
ISBN-10: 3658424796
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Rafiq, Hogir
Auflage: 1st ed. 2023
Hersteller: Springer Fachmedien Wiesbaden
Springer Fachmedien Wiesbaden GmbH
Maße: 210 x 148 x 12 mm
Von/Mit: Hogir Rafiq
Erscheinungsdatum: 27.08.2023
Gewicht: 0,286 kg
Artikel-ID: 127335352
Über den Autor
Hogir Rafiq received his Ph.D. degree at the Institute of Automatic Control and Complex Systems (AKS), Faculty of Engineering, University of Duisburg-Essen, Germany, in 2023, and his M.Sc. degree in Control and Systems Engineering at the department of Automatic Control and Systems Engineering (ACSE), The University of Sheffield, UK, in 2012. His research interests include condition monitoring, signal processing and data-driven fault diagnosis and nonlinear frequency analysis.
Inhaltsverzeichnis
Introduction.- The basics and kinematics of gears.- Vibration signal-based analysis for gear
faults.- Frequency domain analysis for nonlinear systems.- Development of advanced signal processing based fault diagnosis.- Estimation of NOFRFs based parametric characteristic analysis.- Conclusions and future work.- Bibliography.
Details
Erscheinungsjahr: 2023
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xxi
191 S.
3 s/w Illustr.
35 farbige Illustr.
191 p. 38 illus.
35 illus. in color. Textbook for German language market.
ISBN-13: 9783658424794
ISBN-10: 3658424796
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Rafiq, Hogir
Auflage: 1st ed. 2023
Hersteller: Springer Fachmedien Wiesbaden
Springer Fachmedien Wiesbaden GmbH
Maße: 210 x 148 x 12 mm
Von/Mit: Hogir Rafiq
Erscheinungsdatum: 27.08.2023
Gewicht: 0,286 kg
Artikel-ID: 127335352
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