FAULT DETECTION AND DIAGNOSIS INGEARS USING WAVELET ENVELOPED POWER SPECTRUM AND ANN

M. Lokesh, Manik Chandra Majumder ,K. P. Ramachandran, Khalid Fathi Abdul Raheem

Abstract: In this work, automatic detection and diagnosis of gear condition monitoring technique is presented. The vibration signals in time domain wereobtained from a fault simulator apparatus from a healthy gear and an induced faulty gear. These time domain signals were processed using Laplace and Morlet wavelet based enveloped power spectrum to detect the faults in gears. The vibration signals obtained were filtered to enhance the signal components before the application of wavelet analysis. The time and frequency domain features extracted from Laplace wavelet based wavelet transform are used as input to ANN for gear fault classification. Genetic algorithm was used to optimize the wavelet and ANN classification parameters. The result shows the successful classification of ANN test process.

Keywords: Continuous wavelet transform, Envelope power spectrum, Wavelet, Filtering, ANN.

DOI: https://doi.org/10.15623/ijret.2013.0209023