Funding for this research was provided by:
National Natural Science Foundation of China (61973238)
Article Title: ADG-KAE: novel adaptive dynamic graph embedded kernel autoencoder algorithm for industrial process monitoring and fault detection
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2025 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2025-02-14
Date Accepted: 2025-05-22
Online publication date: 2025-06-11