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Denoising of Disturbed Signal using Reconstruction Technique of EMD for Railway Bearing Condition Monitoring
2020
Zenodo
Railway bearing is one of the important parts which constructs boogie structure in a passenger train. This part should be monitored from bearing failure phenomena at any time for passenger safety during traveling. This study presents an effective denoising noisy signal for bearing condition monitoring. A noisy signal was created first, then separated by Empirical Mode Decomposition (EMD) to be intrinsic mode decompositions (IMFs). From IMFs, the noise can be detected, and then it was removed.
doi:10.5281/zenodo.4418876
fatcat:2k4rz5cnezg7vkxfkwr7i2ztsy