Electrical motors and drives are the unseen forces driving our modern world, powering everything from electric vehicles to industrial machinery. The efficiency, precision, and sustainability of these systems are very important. Unexpected motor failures can cause major disruptions, risk human lives, and cause costly downtime. This research aims to improve the efficiency and performance of three-phase synchronous machines using Artificial Intelligence (AI) strategies. This research uses real-time data and optimization techniques to explore advanced diagnostic techniques, fault diagnosis, fault tolerance, and condition monitoring schemes to enhance safety, reliability, and performance in electric synchronous operations.