Advances in International Computer Science

With the continuous improvement of industrial intelligence, artificial intelligence has demonstrated great potential in fault diagnosis of industrial equipment. Using artificial intelligence technologies such as machine learning, deep learning, and data mining, it is possible to conduct real-time monitoring of equipment operation status and accurately identify potential faults. Through the analysis and processing of historical data, AI systems can automatically judge the health status of equipment and provide early warnings, which significantly improves the efficiency and accuracy of fault diagnosis. This study explores the application of artificial intelligence in industrial equipment fault diagnosis, analyzes its technical advantages and challenges in implementation, and proposes future development directions.

Artificial Intelligence; Industrial equipment; Fault diagnosis; Machine learning; Deep learning