Novel transformer based on gated convolutional neural network for dynamic soft sensor modeling of industrial processes
Z Geng, Z Chen, Q Meng, Y Han - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Industrial process data are usually time-series data collected by sensors, which have the
characteristics of high nonlinearity, dynamics, and noises. Many existing soft sensor …
characteristics of high nonlinearity, dynamics, and noises. Many existing soft sensor …
Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling
Due to the limitations of sampling conditions and sampling techniques in many real
industrial processes, the process data under different sampling conditions subject to …
industrial processes, the process data under different sampling conditions subject to …
A multistep sequence-to-sequence model with attention LSTM neural networks for industrial soft sensor application
Soft sensor technology is widely used in industries to handle highly nonlinear, dynamic, time-
dependent sequence data of industrial processes for predicting the key variables associated …
dependent sequence data of industrial processes for predicting the key variables associated …
A novel soft sensor modeling approach based on difference-LSTM for complex industrial process
J Zhou, X Wang, C Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The main purpose of soft sensor modeling is to capture the dynamic nonlinear features
between the easy-to-measure auxiliary variables and the difficult-to-measure key variables …
between the easy-to-measure auxiliary variables and the difficult-to-measure key variables …
Quality variable prediction for nonlinear dynamic industrial processes based on temporal convolutional networks
Soft sensors have been extensively developed to estimate the difficult-to-measure quality
variables for real-time process monitoring and control. Process nonlinearities and dynamics …
variables for real-time process monitoring and control. Process nonlinearities and dynamics …
Nonlinear dynamic soft sensor modeling with supervised long short-term memory network
X Yuan, L Li, Y Wang - IEEE transactions on industrial …, 2019 - ieeexplore.ieee.org
Soft sensor has been extensively utilized in industrial processes for prediction of key quality
variables. To build an accurate virtual sensor model, it is very significant to model the …
variables. To build an accurate virtual sensor model, it is very significant to model the …
Deep learning for quality prediction of nonlinear dynamic processes with variable attention‐based long short‐term memory network
Industrial processes are often characterized with high nonlinearities and dynamics. For soft
sensor modelling, it is important to model the nonlinear and dynamic relationship between …
sensor modelling, it is important to model the nonlinear and dynamic relationship between …
Soft sensor model for dynamic processes based on multichannel convolutional neural network
Soft sensors have been extensively used to predict the difficult-to-measure key quality
variables. The robust soft sensors should be able to sufficiently extract the local dynamic and …
variables. The robust soft sensors should be able to sufficiently extract the local dynamic and …
Probabilistic sequential network for deep learning of complex process data and soft sensor application
Soft sensing of quality/key variables is critical to the control and optimization of industrial
processes. One of the main drawbacks of data-driven soft sensors is to deal with the …
processes. One of the main drawbacks of data-driven soft sensors is to deal with the …
Deep learning with spatiotemporal attention-based LSTM for industrial soft sensor model development
X Yuan, L Li, YAW Shardt, Y Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Industrial process data are naturally complex time series with high nonlinearities and
dynamics. To model nonlinear dynamic processes, a long short-term memory (LSTM) …
dynamics. To model nonlinear dynamic processes, a long short-term memory (LSTM) …