Advances in International Computer Science

With the rapid advancement of technology, artificial intelligence has been increasingly integrated into the field of automation debugging for electromechanical equipment, driving transformative innovations. By employing AI algorithms such as machine learning and deep learning, this technology enables efficient analysis of operational data, precise identification of equipment status, and optimization of debugging procedures. It enhances debugging accuracy and efficiency while reducing human errors, lowering equipment failure rates, and improving system stability. In the current context where the electromechanical industry pursues high-efficiency and intelligent development, in-depth exploration of AI applications holds significant practical value, potentially propelling the entire sector toward a new developmental stage.

Artificial Intelligence; Electromechanical equipment; Automation debugging; Machine learning; Deep learning