Decentralized system for fault detection in induction motors

Owing to their excellent exploitation properties, induction motors are of key importance to industrial systems. Therefore, early fault detection in induction motors has recently received increasing attention, encompassing a number of modern technologies such as Internet of Things and Cloud Computing. In this paper, an example of fault detection system will be presented. The system detects a broken rotor bar of induction motors, employing conventional vibration analysis techniques and the Radial Basis Function (RBF) neural network enhanced by the Microsoft Azure cloud platform.