Data-Driven Industrial Artificial Intelligence: Methods and Applications

This book integrates innovative theoretical research with practical application, providing a comprehensive and in-depth guide for practitioners, researchers in the field of intelligent manufacturing, and readers from all walks of life who are curious about industrial artificial intelligence. It delves into the challenges of various typical application scenarios of industrial artificial intelligence, systematically expounds on various new data-driven modeling methods, and provides a wealth of rich industrial practice cases.The book introduces data-driven industrial intelligence from two main threads: the practical application problems faced by industrial big data analysis and the construction methods of industrial AI models, achieving a deep integration of theory and practical application.It combines the modeling ideas of industrial AI models with the introduction of theoretical methods, enabling readers to grasp the methods and processes of thinking about problems, achieving "teaching