- Tytuł:
- Fault Analysis of Worm Gear Box Using Symlets Wavelet
- Autorzy:
-
Thamba, Narendiranath Babu
Thatikonda Venkata, Kiran Kamesh
Nutakki, Sathvik
Duraiswamy, Rama Prabha
Mohammed, Noor
Wahab, Razia Sultana
Mangalaraja, Ramalinga Viswanathan
Manivannan, Ajay Vannan - Powiązania:
- https://bibliotekanauki.pl/articles/177633.pdf
- Data publikacji:
- 2020
- Wydawca:
- Polska Akademia Nauk. Czasopisma i Monografie PAN
- Tematy:
-
worm gear box
FFT
Fast Fourier Transform
symlet wavelets
artificial neural Network - Opis:
- 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%.
- Źródło:
-
Archives of Acoustics; 2020, 45, 3; 521-540
0137-5075 - Pojawia się w:
- Archives of Acoustics
- Dostawca treści:
- Biblioteka Nauki
Artykuł