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

Echo-state networks for soft sensor design in an SRU process

(2021) Luca Patanè et al.   INFORMATION SCIENCES

Prediction model of burn-through point with fuzzy time series for iron ore sintering process

(2021) Sheng Du et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A Survey on Deep Learning for Data-Driven Soft Sensors

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

Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes

(2020) Yan-Lin He et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Soft Sensor Modeling Method Based on Semisupervised Deep Learning and Its Application to Wastewater Treatment Plant

(2020) Weiwu Yan et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Recent advances in deep learning for object detection

(2020) Xiongwei Wu et al.   NEUROCOMPUTING

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

Modeling data-driven sensor with a novel deep echo state network

(2020) Ying-Chun Bo et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Operating Mode Recognition Based on Fluctuation Interval Prediction for Iron Ore Sintering Process

(2020) Sheng Du et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Deep Learning for Industrial KPI Prediction: When Ensemble Learning Meets Semi-Supervised Data

(2020) Qingqiang Sun et al.   IEEE Transactions on Industrial Informatics

A Prediction System of Burn through Point Based on Gradient Boosting Decision Tree and Decision Rules

(2019) Song Liu et al.   ISIJ INTERNATIONAL

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

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

A dynamic subspace model for predicting burn-through point in iron sintering process

(2018) Weihua Cao et al.   INFORMATION SCIENCES

A Data-Driven Soft Sensor Modeling Method Based on Deep Learning and its Application

(2017) Weiwu Yan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Power System Dynamic Model Reduction Based on Extended Krylov Subspace Method

(2016) Zexiang Zhu et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Deep learning

(2015) Yann LeCun et al.   NATURE

Hierarchical Intelligent Control System and Its Application to the Sintering Process

(2011) Chun-Sheng Wang et al.   IEEE Transactions on Industrial Informatics