Real-time dynamic prediction model of carbon efficiency with working condition identification in sintering process

A novel performance assessment method of the carbon efficiency for iron ore sintering process

(2021) Kailong Zhou et al.   JOURNAL OF PROCESS CONTROL

Concurrent analytics of temporal information and local correlation for meticulous quality prediction of industrial processes

(2021) Wanke Yu et al.   JOURNAL OF PROCESS CONTROL

A Novel Modeling Framework Based on Customized Kernel-Based Fuzzy C-Means Clustering in Iron Ore Sintering Process

(2021) Jie Hu et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Operable adaptive sparse identification of systems (OASIS): application to chemical processes

(2020) Bhavana Bhadriraju et al.   AICHE JOURNAL

A semi-supervised linear–nonlinear least-square learning network for prediction of carbon efficiency in iron ore sintering process

(2020) Xiaoxia Chen et al.   CONTROL ENGINEERING PRACTICE

Real-time dynamic prediction model of NOx emission of coal-fired boilers under variable load conditions

(2020) Tingting Yang et al.   FUEL

Data-driven adaptive modeling method for industrial processes and its application in flotation reagent control

(2020) Jin Zhang et al.   ISA TRANSACTIONS

Prediction Performance Improvement via Anomaly Detection and Correction of Actual Production Data in Iron Ore Sintering Process

(2020) Jie Hu et al.   IEEE Transactions on Industrial Informatics

An intelligent decision-making strategy based on the forecast of abnormal operating mode for iron ore sintering process

(2020) Sheng Du et al.   JOURNAL OF PROCESS CONTROL

Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series Prediction

(2020) Min Han et al.   IEEE Transactions on Neural Networks and Learning Systems

State space neural networks and model-decomposition methods for fault diagnosis of complex industrial systems

(2019) Belarmino Pulido et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Two-level intelligent modeling method for the rate of penetration in complex geological drilling process

(2019) Chao Gan et al.   APPLIED SOFT COMPUTING

Multi-time-scale TFe prediction for iron ore sintering process with complex time delay

(2019) Xiaoxia Chen et al.   CONTROL ENGINEERING PRACTICE

Temporal Prediction of Multiapplication Consolidated Workloads in Distributed Clouds

(2019) Jing Bi et al.   IEEE Transactions on Automation Science and Engineering

Deep hybrid modeling of chemical process: Application to hydraulic fracturing

(2019) Mohammed Saad Faizan Bangi et al.   COMPUTERS & CHEMICAL ENGINEERING

Prediction of the NO emissions from thermal power plant using long-short term memory neural network

(2019) Guotian Yang et al.   ENERGY

Prediction of sinter yield and strength in iron ore sintering process by numerical simulation

(2018) Bin Zhang et al.   APPLIED THERMAL ENGINEERING

A Design of Granular Takagi-Sugeno Fuzzy Model through the Synergy of Fuzzy Subspace Clustering and Optimal Allocation of Information Granularity

(2018) Xiubin Zhu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

A Multilevel Prediction Model of Carbon Efficiency Based on the Differential Evolution Algorithm for the Iron Ore Sintering Process

(2018) Jie Hu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Analytic Hierarchy Process Based Fuzzy Decision Fusion System for Model Prioritization and Process Monitoring Application

(2018) Zhiqiang Ge et al.   IEEE Transactions on Industrial Informatics

On Savitzky–Golay Filtering for Online Condition Monitoring of Transformer On-Load Tap Changer

(2018) Junhyuck Seo et al.   IEEE TRANSACTIONS ON POWER DELIVERY

A Dynamic Analytics Method Based on Multistage Modeling for a BOF Steelmaking Process

(2018) Chang Liu et al.   IEEE Transactions on Automation Science and Engineering

Regularized Robust Broad Learning System for Uncertain Data Modeling

(2018) Jun-Wei Jin et al.   NEUROCOMPUTING

Universal Approximation Capability of Broad Learning System and Its Structural Variations

(2018) C. L. Philip Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification

(2018) Shuang Feng et al.   IEEE Transactions on Cybernetics

A Novel Semi-Supervised Sparse Bayesian Regression Based on Variational Inference for Industrial Datasets With Incomplete Outputs

(2018) Jun Zhao et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Dual least squares support vector machines based spatiotemporal modeling for nonlinear distributed thermal processes

(2017) Kang-Kang Xu et al.   JOURNAL OF PROCESS CONTROL

A hybrid just-in-time soft sensor for carbon efficiency of iron ore sintering process based on feature extraction of cross-sectional frames at discharge end

(2017) Xiaoxia Chen et al.   JOURNAL OF PROCESS CONTROL

Thermo-chemical model for blast furnace process control with the prediction of carbon consumption

(2017) Vitor Maggioni Gasparini et al.   Journal of Materials Research and Technology-JMR&T

Modeling and optimization method featuring multiple operating modes for improving carbon efficiency of iron ore sintering process

(2016) Xin Chen et al.   CONTROL ENGINEERING PRACTICE

Cluster Prototypes and Fuzzy Memberships Jointly Leveraged Cross-Domain Maximum Entropy Clustering

(2016) Pengjiang Qian et al.   IEEE Transactions on Cybernetics

Modelling fuel combustion in iron ore sintering

(2015) Jia P. Zhao et al.   COMBUSTION AND FLAME

On-line sequential extreme learning machine based on recursive partial least squares

(2015) Tiago Matias et al.   JOURNAL OF PROCESS CONTROL

A Quality-Relevant Sequential Phase Partition Approach for Regression Modeling and Quality Prediction Analysis in Manufacturing Processes

(2014) Chunhui Zhao   IEEE Transactions on Automation Science and Engineering

Dynamic Data-Driven Modeling of Pharmaceutical Processes

(2011) F. Boukouvala et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH