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

Operating mode recognition of iron ore sintering process based on the clustering of time series data

(2020) Sheng Du et al.   CONTROL ENGINEERING PRACTICE

Abnormal Condition Identification via OVR-IRBF-NN for the Process Industry with Imprecise Data and Semantic Information

(2020) Jie Yuan et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Multi-objective Optimization of Integrated Iron Ore Sintering Process Using Machine Learning and Evolutionary Algorithms

(2020) Kuldeep Singh et al.   TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS

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

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

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

A Hybrid Ensemble Model Based on ELM and Improved AdaBoost.RT Algorithm for Predicting the Iron Ore Sintering Characters

(2019) Sen-Hui Wang et al.   Computational Intelligence and Neuroscience

Synthetically predicting the quality index of sinter using machine learning model

(2019) Liu Song et al.   IRONMAKING & STEELMAKING

Random ensemble of fuzzy rule-based models

(2019) Xingchen Hu et al.   KNOWLEDGE-BASED SYSTEMS

Generating a hierarchical fuzzy rule-based model

(2019) Jeremy Kerr-Wilson et al.   FUZZY SETS AND SYSTEMS

Simultaneous Static and Dynamic Analysis for Fine-Scale Identification of Process Operation Statuses

(2019) Shumei Zhang et al.   IEEE Transactions on Industrial Informatics

Fuzzy testing decision-making model for intelligent manufacturing process with Taguchi capability index

(2019) Kuen-Suan Chen   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

An Intelligent Control Strategy for Iron Ore Sintering Ignition Process Based on the Prediction of Ignition Temperature

(2019) Sheng Du et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

(2019) Song Liu et al.   ISIJ INTERNATIONAL

A Fuzzy Control Strategy of Burn-Through Point Based on the Feature Extraction of Time-Series Trend for Iron Ore Sintering Process

(2019) Sheng Du et al.   IEEE Transactions on Industrial Informatics

An energy efficient decision-making strategy of burden distribution for blast furnace

(2018) Min Wu et al.   CONTROL ENGINEERING PRACTICE

Abnormal condition identification and safe control scheme for the electro-fused magnesia smelting process

(2018) Hui Li et al.   ISA TRANSACTIONS

Fuzzy classifiers with information granules in feature space and logic-based computing

(2018) Xingchen Hu et al.   PATTERN RECOGNITION

Granular Fuzzy Rule-Based Models: A Study in a Comprehensive Evaluation and Construction of Fuzzy Models

(2017) Xingchen Hu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

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

From fuzzy rule-based models to their granular generalizations

(2017) Xingchen Hu et al.   KNOWLEDGE-BASED SYSTEMS

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

Design of rule-based models through information granulation

(2016) Jeremy Kerr-Wilson et al.   EXPERT SYSTEMS WITH APPLICATIONS

Data-Driven Abnormal Condition Identification and Self-Healing Control System for Fused Magnesium Furnace

(2015) Zhiwei Wu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

An intelligent integrated optimization system for the proportioning of iron ore in a sintering process

(2013) Min Wu et al.   JOURNAL OF PROCESS CONTROL