Electrical Motor

Electrical motors are crucial components in numerous applications, and current research focuses on improving their efficiency, reliability, and adaptability. Key areas of investigation include developing advanced diagnostic techniques, often employing deep learning models like transformers and LSTMs, to predict faults and optimize performance under varying operating conditions. This research is driven by the need for more robust and adaptable motor systems, impacting fields ranging from robotics and industrial automation to electric vehicles, where accurate fault detection and optimized motor design are critical for safety and efficiency. The development of synthetic datasets and novel motor design methodologies further enhances the ability to improve motor performance and reduce development costs.