Data-driven soft sensors for multi-scale feature extraction in quality prediction of industrial processes
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Published online on May 14, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Ahead of Print.
To address the challenges of strong variable coupling, multi-scale feature extraction, and poor robustness to missing data in industrial process quality prediction, this paper proposes a Dilated Multi-scale Convolutional Gated Network (DMCGN) for data-...
To address the challenges of strong variable coupling, multi-scale feature extraction, and poor robustness to missing data in industrial process quality prediction, this paper proposes a Dilated Multi-scale Convolutional Gated Network (DMCGN) for data-...