Archives of Acoustics, 45, 3, pp. 521–540, 2020
10.24425/aoa.2020.134069

Fault Analysis of Worm Gear Box Using Symlets Wavelet

Narendiranath Babu THAMBA
Vellore Institute of Technology
India

Kiran Kamesh THATIKONDA VENKATA
Vellore Institute of Technology
India

Sathvik NUTAKKI
Vellore Institute of Technology
India

Rama Prabha DURAISWAMY
Vellore Institute of Technology
India

Noor MOHAMMED
Vellore Institute of Technology
India

Razia Sultana WAHAB
Vellore Institute of Technology
India

Ramalinga Viswanathan MANGALARAJA
University of Concepcion
Chile

Ajay Vannan MANIVANNAN
Vellore Institute of Technology
India

This research highlights the vibration analysis on worm gears at various conditions of oil using the experimental set up. An experimental rig was developed to facilitate the collection of the vibration signals which consisted of a worm gear box coupled to an AC motor. The four faults were induced in the gear box and the vibration data were collected under full, half and quarter oil conditions. An accelerometer was used to collect the signals and for further analysis of the vibration signals, MATLAB software was used to process the data. Symlet wavelet transform was applied to the raw FFT to compare the features of the data. ANN was implemented to classify various faults and the accuracy is 93.3%.
Keywords: worm gear box; FFT; symlet wavelets; artificial neural network
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DOI: 10.24425/aoa.2020.134069

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