Guest Editorial: Special Issue on Explainable Representation Learning-Based Intelligent Inspection and Maintenance of Complex Systems

Over the past decade, representation learning has received particular attention in the intelligent inspection and maintenance of complex systems thanks to its overwhelming advantages in discovering and mining hidden knowledge representations. The room for in-depth investigations of representation learning-related topics remains open, especially explainable approaches for intelligent inspection and maintenance of complex systems. The primary objective of this special issue, entitled “Explainable Representation Learning-based Intelligent Inspection and Maintenance of Complex Systems,” of IEEE Transactions on Neural Networks and Learning Systems is to provide the related latest achievements made by researchers and practitioners on the one hand and to identify critical issues and challenges for future investigation on the other hand.