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

Rafiq, Hogir

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.

Details

Published by: Springer Vieweg

Publication Date: 2023-08-27

Format: Paperback

ISBN-13: 9783658424794

DOI: 10.1007/978-3-658-42480-0

Dimensions: 210cm x148cm

Pages: 191