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Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems

(Autor)

Buch | Softcover
XXI, 191 Seiten
2023 | 1st ed. 2023
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-42479-4 (ISBN)

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Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems - Hogir Rafiq
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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 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.

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 based parametric characteristic analysis.-  Conclusions and future work.- Bibliography.

Erscheinungsdatum
Zusatzinfo XXI, 191 p. 38 illus., 35 illus. in color. Textbook for German language market.
Verlagsort Wiesbaden
Sprache englisch
Maße 148 x 210 mm
Gewicht 285 g
Themenwelt Technik Elektrotechnik / Energietechnik
Schlagworte Condition Monitoring • Nonlinear frequency analysis • Nonlinear Output Frequency Response Functions • Signal processing based fault detection • Vibration based condition monitoring • Wind turbine gear fault diagnosis
ISBN-10 3-658-42479-6 / 3658424796
ISBN-13 978-3-658-42479-4 / 9783658424794
Zustand Neuware
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