Optimized Neural Network Based Predictive Maintenance for Five-Phase Induction Motor Failure

Predictive maintenance of multiphase machines has become a vital issue in Industry 4.0 as it has higher reliability and fault tolerant capability. This paper suggests the use of Particle Swarm Optimization and Spiral Dynamics Algorithm to optimize the Artificial Neural Network based failure model for Five Phase Induction Motor drive. An experimental verification has been carried out to investigate the effectiveness of the proposed scheme.