TY - JOUR N2 - 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%. L1 - http://journals.pan.pl/Content/117163/PDF/aoa.2020.134069.pdf L2 - http://journals.pan.pl/Content/117163 PY - 2020 IS - No 3 EP - 540 DO - 10.24425/aoa.2020.134069 KW - worm gear box KW - FFT KW - symlet wavelets KW - artificial neural network A1 - Thamba, Narendiranath Babu A1 - Thatikonda Venkata, Kiran Kamesh A1 - Nutakki, Sathvik A1 - Duraiswamy, Rama Prabha A1 - Mohammed, Noor A1 - Wahab, Razia Sultana A1 - Mangalaraja, Ramalinga Viswanathan A1 - Manivannan, Ajay Vannan PB - Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics VL - vol. 45 DA - 2020.08.25 T1 - Fault Analysis of Worm Gear Box Using Symlets Wavelet SP - 521 UR - http://journals.pan.pl/dlibra/publication/edition/117163 T2 - Archives of Acoustics ER -