Improving Elman Network using genetic algorithm for bearing failure diagnosis of induction motor

@article{Mahamad2009ImprovingEN,
  title={Improving Elman Network using genetic algorithm for bearing failure diagnosis of induction motor},
  author={Abd Kadir Mahamad and Takashi Hiyama},
  journal={2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives},
  year={2009},
  pages={1-6}
}
A bearing is an important component in any rotating machinery especially in induction motors. Thus, timely detection and diagnosis of induction motor bearing (1MB) is crucial to prevent sudden damages. This paper proposes a method to utilize artificial neural network (ANN) by using genetic algorithm (GA) to identify 1MB fault diagnosis. In this case, GA is utilized to find the optimum weights and biases for Elman Network (EN), which is one of ANN families. The vibration signal used in this work… CONTINUE READING