SPECTRUM ANALYSIS OF WIND TURBINE BALL BEARING FOR FAULT DETECTION
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.8, No. 10)Publication Date: 2019-10-30
Authors : Surinder Kaur Gora Ram Sharma; Amit Gupta;
Page : 31-40
Keywords : PSD; Kurtosis; Spectrum Analysis;
Abstract
By the passage of the time all the power sources will vanish as their related failure are not only losses of production time, it also have harmful consequences. There are many general purpose and specifically applicable software available nowadays which are user friendly in programming and operation as well as capable of simulating such renewable and green energy harvesting by generating mathematical model of the whole system. This work represents the diagnosis of faults of wind turbine bearing to estimate the life of wind turbine as bearing is moving part of turbine which supports both axial and radial loads. The wind turbine was modelled in MATLAB/SIMULINK using asynchronous generator and synchronous condenser(480v) to get input values for the simulation of results by setting the initial conditions of model. The results were simulated under four types of analysis (PSD ,Kurtosis, envelop and time frequency) methods at variable rpm, to demonstrate performance of wind turbine bearing under the presence of faults in inner and outer race of bearing.
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Last modified: 2019-10-24 07:26:45