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Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems - Softcover
Synopsis
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.
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About the Author
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.
From the Back Cover
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.
About the author
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.
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Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems (eng)
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Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems [Paperback] [Aug 27, 2023] Rafiq, Hogir
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Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 216 pp. Englisch. Seller Inventory # 9783658424794
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Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduction.- The basics and kinematics of gears.- Vibration signal-based analysis for gearfaults.- Frequency domain analysis for nonlinear systems.- Development of advanced signal processing based fault diagnosis.- Estimation of NOFRFs base. Seller Inventory # 927400787
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Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783658424794
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Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems
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Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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. Seller Inventory # 42230976/1
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Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems
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Taschenbuch. Condition: Neu. Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems | Hogir Rafiq | Taschenbuch | xxi | Englisch | 2023 | Springer Vieweg | EAN 9783658424794 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 127335352