Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes

Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling

(2022) Yalin Wang et al.   ADVANCED ENGINEERING INFORMATICS

DSTED: A Denoising Spatial–Temporal Encoder–Decoder Framework for Multistep Prediction of Burn-Through Point in Sintering Process

(2022) Feng Yan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

MPA-RNN: A Novel Attention-Based Recurrent Neural Networks for Total Nitrogen Prediction

(2022) Jingxuan Geng et al.   IEEE Transactions on Industrial Informatics

Cloud-Edge Collaborative Method for Industrial Process Monitoring Based on Error-Triggered Dictionary Learning

(2022) Keke Huang et al.   IEEE Transactions on Industrial Informatics

High-Dimensional Data Global Sensitivity Analysis Based on Deep Soft Sensor Model

(2022) Ling Yi et al.   IEEE Transactions on Cybernetics

Online cement clinker quality monitoring: A soft sensor model based on multivariate time series analysis and CNN

(2021) Yantao Zhao et al.   ISA TRANSACTIONS

Feature selection and regularization of interpretable soft sensors using evolutionary multi-objective optimization design procedures

(2021) Victor Henrique Alves Ribeiro et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A Survey on Deep Learning for Data-Driven Soft Sensors

(2021) Qingqiang Sun et al.   IEEE Transactions on Industrial Informatics

A Hybrid Mechanism- and Data-Driven Soft Sensor Based on the Generative Adversarial Network and Gated Recurrent Unit

(2021) Runyuan Guo et al.   IEEE SENSORS JOURNAL

A Novel Double-Stacked Autoencoder for Power Transformers DGA Signals With An Imbalanced Data Structure

(2021) Dongsheng Yang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

On Interpretability of Artificial Neural Networks: A Survey

(2021) Feng-Lei Fan et al.   IEEE Transactions on Radiation and Plasma Medical Sciences

Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application

(2021) Chenliang Liu et al.   IEEE Transactions on Industrial Informatics

A deep learning just-in-time modeling approach for soft sensor based on variational autoencoder

(2020) Fan Guo et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Soft sensor validation for monitoring and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders

(2020) Jorge Loy-Benitez et al.   CONTROL ENGINEERING PRACTICE

Multiseries Featural LSTM for Partial Periodic Time-Series Prediction: A Case Study for Steel Industry

(2020) Tianyu Wang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Ensemble empirical mode decomposition and long short-term memory neural network for multi-step predictions of time series signals in nuclear power plants

(2020) Hoang-Phuong Nguyen et al.   APPLIED ENERGY

A Just-in-Time Fine-Tuning Framework for Deep Learning of SAE in Adaptive Data-Driven Modeling of Time-Varying Industrial Processes

(2020) Yijun Wu et al.   IEEE SENSORS JOURNAL

Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development

(2020) Xiaofeng Yuan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Gated Stacked Target-Related Autoencoder: A Novel Deep Feature Extraction and Layerwise Ensemble Method for Industrial Soft Sensor Application

(2020) Qingqiang Sun et al.   IEEE Transactions on Cybernetics

Explicit and interpretable nonlinear soft sensor models for influent surveillance at a full-scale wastewater treatment plant

(2019) Xiaodong Wang et al.   JOURNAL OF PROCESS CONTROL

A method for detecting high-frequency oscillations using semi-supervised k-means and mean shift clustering

(2019) Yuxiao Du et al.   NEUROCOMPUTING

A semi-supervised Laplacian extreme learning machine and feature fusion with CNN for industrial superheat identification

(2019) Yongxiang Lei et al.   NEUROCOMPUTING

A new similarity combining reconstruction coefficient with pairwise distance for agglomerative clustering

(2019) Zhiling Cai et al.   INFORMATION SCIENCES

Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network

(2019) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Data-Driven Soft Sensor for the Estimation of Sound Power Levels of Refrigeration Compressors Through Vibration Measurements

(2019) Ahryman Seixas Busse de Siqueira Nascimento et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Soft Sensor Modeling Based on Multi-State-Dependent Parameter Models and Application for Quality Monitoring in Industrial Sulfur Recovery Process

(2018) Bahareh Bidar et al.   IEEE SENSORS JOURNAL

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

(2018) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Visual interpretability for deep learning: a survey

(2018) Quan-shi Zhang et al.   Frontiers of Information Technology & Electronic Engineering

Process Monitoring for Multimodal Processes With Mode-Reachability Constraints

(2017) Muhammad Shahzad Afzal et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS