Decentralized system for fault detection in induction motors
2018
Jocić, Stefana | Kanović, Željko | Rapaić, Milan | Jeličić, Zoran | Turkulov, Vukan
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.
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