Differential fusion of multi-latent-layer temporal features for industrial process fault classification
Transactions of the Institute of Measurement and Control
Published online on November 06, 2025
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
Industrial process data often possess characteristics such as time series correlation, high dimensionality, and noise. A fault classification method based on the Long Short-Term Memory (LSTM) combined with a Variational Autoencoder (VAE) model (LSTM-VAE) ...
Industrial process data often possess characteristics such as time series correlation, high dimensionality, and noise. A fault classification method based on the Long Short-Term Memory (LSTM) combined with a Variational Autoencoder (VAE) model (LSTM-VAE) ...