Author : Sagar S. Ajanalkar, Parag V. Bute and Ganesh D. Shrigandhi

Basically in any rotating machinery so as to reduce the chances of complete breakdown due to severe fault conditions, it is necessary to monitor the condition for a scheduled time interval. Some of the traditional methods are complicated, time consuming and needs shut down of equipment for condition monitoring. Nowadays one of the most easy and renowned method used is experimental vibration analysis. In which, we record the vibrational signals in the form of time domain signals and use various prediction tools like Artificial Neural Network or Genetic Algorithm on the preprocessed raw signals. In this review paper, the basics related to fault prediction in case of a gear box by using Artificial Neural Network is discussed from the literature available.

Keywords: Gear Fault Prediction, Artificial Neural Network, Experimental Vibration Analysis.