Analysis reveals effective enhancement of adaptability and precision in electrical engineering automation using AI technologies.
Key Points
The study aims to analyze the application of artificial intelligence in overcoming traditional technological limitations in electrical engineering automation.
Defined artificial intelligence and its core principles.
Reviewed the current state, challenges, and demands in electrical engineering automation.
Analyzed core technologies: machine learning, deep learning, fuzzy logic, and expert systems and their application.
Artificial intelligence significantly improves the adaptability, accuracy, and efficiency of electrical engineering automation systems.
Core technologies are effectively integrated into specific areas: equipment optimization design, fault diagnosis, power system operation control, and intelligent control of electrical systems.