Conclusion, Challenges, and Future Work

In the past decade, the application of artificial intelligence (AI) has flourished in many different fields, which also provides powerful tools for IMHM of mechanical equipment and its critical components in industrial scenarios. The main objective of this monograph is to advance IMHM to a higher level and achieve greater progress by summarizing the new generation of AI-driven techniques, including knowledge-driven deep learning, transfer learning, adversarial learning, complex networks, and multi-source information fusion. Furthermore, the related research can also provide information guidance for researchers and practitioners in the field.