Augmented switching linear dynamic latent variable model based for multimode process fault diagnosis
Transactions of the Institute of Measurement and Control
Published online on July 11, 2025
Abstract
Transactions of the Institute of Measurement and Control, Volume 48, Issue 6, Page 1099-1109, April 2026.
Extracting dynamic, uncertain, and multimode features of process data is important and challenging for fault diagnosis. However, the traditional fault diagnosis methods mainly focus on a single feature extraction, and there are few fault diagnosis methods ...
Extracting dynamic, uncertain, and multimode features of process data is important and challenging for fault diagnosis. However, the traditional fault diagnosis methods mainly focus on a single feature extraction, and there are few fault diagnosis methods ...