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Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems
Hogir Rafiq's Approaches
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.
Methodologies and Developments
The author develops the multivariate empirical mode decomposition (MEMD) algorithm to enhance the capability of extracting fault features and addresses theoretical problems in nonlinear frequency analysis methods, respectively.
Experimental Validation
The effectiveness has been demonstrated by an experimental study on a wind turbine gearbox test rig.
