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RESEARCH PRODUCT
Bearing fault detection based on time-frequency representations of vibration signals
Kjell G. RobbersmyrHamid Reza KarimiHuynh Van Khangsubject
gearbox drive trainEngineeringaccelerometersBearing (mechanical)business.industryMechanical EngineeringAcousticswindowed Fourier transformEnergy Engineering and Power Technologyaccelerometers; bearing faults; gearbox drive train; windowed Fourier transform; Energy Engineering and Power Technology; Electrical and Electronic Engineering; Mechanical EngineeringFault (power engineering)Fault detection and isolationlaw.inventionTime–frequency analysisVibrationsymbols.namesakeFourier transformFourier analysislawsymbolsElectronic engineeringbearing faultsTime domainElectrical and Electronic Engineeringbusinessdescription
To prevent failures of a rolling bearing in the gearbox drive system, acceleration sensors are used to detect fault-related signals of the bearing. It is a big challenge to observe and identify signals caused by bearing defects in the time domain or the frequency spectrum by a conventional Fourier analysis. The time-frequency representation of the fault-related signals implemented by the windowed Fourier transform is studied in this work. It is shown that the fault characteristic frequencies can be clearly identified in the time-frequency spectrum if a fault occurs in the bearing of the gearbox at different speeds. Otherwise, the shaft frequency and its multiples are the main harmonics in the spectrum.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-10-01 | 2015 18th International Conference on Electrical Machines and Systems (ICEMS) |