百晓学者学者目录

杜 胜

教授、硕士生导师,中国地质大学(武汉)

精选作品

期刊论文

2026

An accuracy-enhanced flatness prediction model for online updates in roller quenching process

Wen Zhang, Min Wu, Jie Hu, Sheng Du, Luefeng Chen, Naoyuki Kubota

Journal of Process Control

2026

Blast Furnace Condition Recognition Based on Unsupervised Labeling and Knowledge Guidance

Jia-Xin Cheng, Yun-Peng Guo, Jian-Qi An, Sheng Du

Chinese Control and Decision Conference

2026

Information Granulation With Hyperbox Geometries via Principal Component Analysis for Data Representation

Sheng Du, Tian-Yu Ma, Li Jin, Yun-Long Wu, Zi-Xin Huang, W. Pedrycz

IEEE Transactions on Industrial Informatics

2026

基于联邦字典学习的地质钻进过程智能监测

Sheng Du, Tian-Yu Ma, Cheng Huang, Yun-Long Wu, Hai-Peng Fan

Earth Science-Journal of China University of Geosciences

2026

Operational performance evaluation based on cloud-edge collaboration for the coking process

Yi Ren, X. Lai, Jie Hu, Sheng Du, Luefeng Chen, Min Wu, A. Sekiguchi, Edwardo F. Fukushima

Control Engineering Practice

2026

An intelligent optimization strategy of operating parameters for stable-efficient operation in the iron ore sintering process

Sheng Du, Chun-Yang Chu, Li Jin, Zi-Xin Huang

Swarm and Evolutionary Computation

2026

Cross-Domain Intelligent Monitoring Based on Class-Aware Adaptive Sparse Transfer Dictionary Learning for Geological Drilling Process

Sheng Du, Tian-Yu Ma, Hai-Peng Fan, Cheng Huang, Yun-Long Wu, W. Pedrycz

IEEE Sensors Journal

2026

A Compact Enhanced Information Granulation With Angled Elliptical Forms for Time Series Dynamic Feature Extraction

Sheng Du, Xufeng Han, Zi-Xin Huang, Li Jin, Yun-Long Wu, W. Pedrycz

IEEE Transactions on Industrial Informatics

2026

Preface to the Special Issue “Complex Process Modeling and Control Based on AI Technology”

Jie Hu, Sheng Du, Pan Yu

Mathematics

2026

An Improved Time Series Similarity Measurement via Elliptical Information Granules

Sheng Du, Chun-Yang Chu, Zi-Xin Huang, Yun-Long Wu, W. Pedrycz

IEEE Signal Processing Letters

2025

Operating Parameter Optimization for Abnormal Operating Modes Correction in Sintering Process

Chun-Yang Chu, Sheng Du, Xian Ma, Jian-Qi An

Chinese Control and Decision Conference

2025

Finished Sinter Ratio Prediction Based on Fuzzy Rule-based Model with Bidirectional Long Short-Term Memory Network

Xufeng Han, Sheng Du, Xian Ma, Min Wu, W. Pedrycz

Cybersecurity and Cyberforensics Conference

2025

Intelligent prediction and soft-sensing of comprehensive production indicators for iron ore sintering: A review

Sheng Du, Xian Ma, Hai-Peng Fan, Jie Hu, Weihua Cao, Min Wu, Witold Pedrycz

Computers in industry (Print)

2025

Intelligent Monitoring Based on Integrated Temporal Dictionary Learning with Isometric Mapping for Geological Drilling Process

Tian-Yu Ma, Sheng Du, Hai-Peng Fan, Cheng Huang

International Conference on Industrial Technology

2025

Unit load prediction method based on weighted just-in-time learning with spatio-temporal characteristics for gas boiler power generation process

Yan Xu, Min Wu, Jie Hu, Sheng Du, Wen Zhang, Fusheng Peng, Hui-Hang Li, Wen-Shuo Song

Control Engineering Practice

2025

Early Warning of Abnormal Operating Modes via Feature Extraction from Cross-Section Frame at Discharge End for Sintering Process

Xinzhe Hao, Sheng Du, Xian Ma, Mengxin Zhao

Italian National Conference on Sensors

2025

A Hybrid Data-Driven Granular Model for Battery Remaining Useful Life Prediction

Tailong Jing, Sheng Du, Cong Wang, Chao Wu, W. Pedrycz, M. Sharaf, Zhi-Wu Li

IEEE Transactions on Instrumentation and Measurement

2025

Recent Progress in Hybrid Intelligent Modeling Technology and Optimization Strategy for Industrial Energy Consumption Processes

Sheng Du, Li Jin, Zixin Huang, Xiong-Bo Wan

Energies

2025

A Short-Term Load Forecasting Method Based on a Hybrid Model for Industrial Boiler Generator Sets

Yan Xu, Min Wu, Jie Hu, Sheng Du, Fusheng Peng, Wen Zhang, Wen-Shuo Song, Hui-Hang Li

Journal of Advanced Computational Intelligence and Intelligent Informatics

2025

Review of Intelligent Modeling for Sintering Process Under Variable Operating Conditions

Jie Hu, Hong-Xiang Li, Junyong Liu, Sheng Du

Processes

2025

A transfer learning-based plate shape prediction model with limited samples for roller quenching process

Wen Zhang, Min Wu, Sheng Du, Luefeng Chen, Jie Hu, Naoyuki Kubota

Engineering applications of artificial intelligence

2025

A Novel Evaluation Criterion for Density Clustering via Circular Information Granules

Sheng Du, Cheng Huang, Zi-Xin Huang, W. Pedrycz

IEEE Signal Processing Letters

2025

Intelligent Plate Shape Control Strategy With Batch Changeover and Its Application in Roller Quenching Process

Wen Zhang, Min Wu, Sheng Du, Luefeng Chen, Jie Hu, Naoyuki Kubota

IEEE transactions on industrial electronics (1982. Print)

2025

Hybrid Prediction Model of Burn-Through Point Temperature with Color Temperature Information from Cross-Sectional Frame at Discharge End

Mengxin Zhao, Yin Fan, Jing Ge, Xinzhe Hao, Caili Wu, Xian Ma, Sheng Du

Energies

2024

Prediction model of burn-through point with data correction based on feature matching of cross-section frame at discharge end

Hui-Hang Li, Min Wu, Sheng Du, Jie Hu, Wen Zhang, Luefeng Chen, Xian Ma, Hong-Xiang Li

Journal of Process Control

2024

Statistics Pattern Cointegration Analysis-Based Bit Bounce Detection for Drilling Process

Zheng Zhang, X. Lai, Cheng-Da Lu, Sheng Du, Wanke Yu, Min Wu

IEEE transactions on industrial electronics (1982. Print)

2024

Intelligent Control Strategy for Sintering Ignition Temperature Based on Working-Condition Recognition

Jianqi An, C. Yang, Min Wu, Sheng Du

IEEE Transactions on Automation Science and Engineering

2024

Anomaly Detection Based on Information Granulation and Principal Component Analysis for Geological Drilling Process*

Cheng Huang, Sheng Du, Hai-Peng Fan, Min Wu, Weihua Cao

Cybersecurity and Cyberforensics Conference

2024

Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes

Sheng Du, Zixin Huang, Li Jin, Xiong-Bo Wan

Algorithms

2024

A Review of Data-Driven Intelligent Monitoring for Geological Drilling Processes

Sheng Du, Cheng Huang, Xian Ma, Hai-Peng Fan

Processes

2024

Condition Recognition Strategy Based on Fuzzy Clustering With Information Granulation for Blast Furnace

Yuanfeng Huang, Sheng Du, Jie Hu, W. Pedrycz, Min Wu

IEEE Transactions on Industrial Informatics

2024

Time Series Anomaly Detection via Rectangular Information Granulation for Sintering Process

Sheng Du, Xian Ma, Min Wu, Weihua Cao, W. Pedrycz

IEEE transactions on fuzzy systems

2024

Prediction of rate of penetration based on drilling conditions identification for drilling process

Xiao Yang, Min Wu, Cheng-Da Lu, Wang-Nian Li, Luefeng Chen, Sheng Du

Neurocomputing

2024

Intelligent Control of Pre-Chamber Pressure Based on Working Condition Identification for the Coke Dry Quenching Process

Yi Ren, X. Lai, Jie Hu, Sheng Du, Luefeng Chen, Min Wu

Journal of Advanced Computational Intelligence and Intelligent Informatics

2023

Adaptive monitoring for geological drilling process using neighborhood preserving embedding and Jensen–Shannon divergence

Hai-Peng Fan, Cheng-Da Lu, X. Lai, Sheng Du, Wanke Yu, Min Wu

Control Engineering Practice

2023

Anomaly Detection Based on Principle of Justifiable Granularity and Probability Density Estimation

Sheng Du, Xian Ma, Xiang Li, Min Wu, Wei-Hua Cao, W. Pedrycz

ACM Cloud and Autonomic Computing Conference

2023

Modeling of Steel Plate Temperature Field for Plate Shape Control in Roller Quenching Process

Wen Zhang, Min Wu, Sheng Du, Luefeng Chen, Jie Hu, X. Lai

IFAC-PapersOnLine

2023

Condition Recognition Method with Information Granulation for Burden Distribution in Blast Furnace

Yuanfeng Huang, Sheng Du, Jie Hu, W. Pedrycz, Min Wu

Journal of Advanced Computational Intelligence and Intelligent Informatics

2023

Early Warning of Loss and Kick for Drilling Process Based on Sparse Autoencoder With Multivariate Time Series

Zheng Zhang, X. Lai, Sheng Du, Wanke Yu, Min Wu

IEEE Transactions on Industrial Informatics

2023

Fault Detection and State Estimation in Automatic Control

Sheng Du, Wei Wang, Hao Fu, Xiong-Bo Wan

Applied Sciences

2022

Plate shape recognition based on Gaussian function and particle swarm optimization for roller quenching process

Wen Zhang, Min Wu, Sheng Du, Luefeng Chen

Journal of Process Control

2022

Design of an Intelligent Monitoring System for Operating States in a Coal Mine Drilling Process

Xiao Yang, Luefeng Chen, Sheng Du, Cheng-Da Lu, Wang-Nian Li, Min Wu

Cybersecurity and Cyberforensics Conference

2022

Design of An Intelligent Control System for Underground Directional Drilling Trajectory in Coal Mines

Wang-Nian Li, Min Wu, Ke Yao, Quan-Xin Li, Cheng-Da Lu, Sheng Du

Cybersecurity and Cyberforensics Conference

2022

Bit Bounce Detection and Alarm Optimization Based on Domain Generalization for Drilling Process

Zheng Zhang, X. Lai, Cheng-Da Lu, Sheng Du, Wanke Yu, Min Wu

IEEE Transactions on Instrumentation and Measurement

2022

A decentralized operating performance assessment for geological drilling process via multi-block total projection to latent structures and Bayesian inference

Hai-Peng Fan, Min Wu, X. Lai, Sheng Du, Wanke Yu, Cheng-Da Lu

Journal of Process Control

2022

Information Granulation With Rectangular Information Granules and Its Application in Time-Series Similarity Measurement

Sheng Du, Min Wu, Luefeng Chen, Weihua Cao, W. Pedrycz

IEEE transactions on fuzzy systems

2022

Hybrid Intelligent Control Based on Condition Identification for Combustion Process in Heating Furnace of Compact Strip Production

Ying Feng, Min Wu, Luefeng Chen, Xin Chen, Weihua Cao, Sheng Du, W. Pedrycz

IEEE transactions on industrial electronics (1982. Print)

2022

Distributed Monitoring With Integrated Probability PCA and mRMR for Drilling Processes

Hai-Peng Fan, X. Lai, Sheng Du, Wanke Yu, Cheng-Da Lu, Min Wu

IEEE Transactions on Instrumentation and Measurement

2021

Process monitoring based on probabilistic principal component analysis for drilling process

Hai-Peng Fan, Min Wu, X. Lai, Sheng Du, Cheng-Da Lu, Luefeng Chen

Annual Conference of the IEEE Industrial Electronics Society

2021

A New CO/CO$_2$ Prediction Model Based on Labeled and Unlabeled Process Data for Sintering Process

Kailong Zhou, Xin Chen, Min Wu, Sheng Du, Jie Hu, Y. Nakanishi

IEEE Transactions on Industrial Informatics

2021

Incident early warning based on sparse autoencoder and decision fusion for drilling process

Zheng Zhang, X. Lai, Min Wu, Sheng Du

Annual Conference of the IEEE Industrial Electronics Society

2021

Operating Performance Improvement Based on Prediction and Grade Assessment for Sintering Process

Sheng Du, Min Wu, Luefeng Chen, Li Jin, Weihua Cao, W. Pedrycz

IEEE Transactions on Cybernetics

2021

Intelligent Control of Sintering Process

Min Wu, Sheng Du, Jie Hu, Xin Chen, Weihua Cao, W. Pedrycz

2021

Fault diagnosis based on feature clustering of time series data for loss and kick of drilling process

Zheng Zhang, X. Lai, Min Wu, Luefeng Chen, Cheng-Da Lu, Sheng Du

2021

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

Sheng Du, Min Wu, Luefeng Chen, W. Pedrycz

Engineering applications of artificial intelligence

2021

Design of a prediction and optimization system for plate shape in roller quenching process

Wen Zhang, Min Wu, Cong Chen, Sheng Du, Luefeng Chen

Cybersecurity and Cyberforensics Conference

2021

An operating performance assessment strategy with multiple modes based on least squares support vector machines for drilling process

Hai-Peng Fan, Min Wu, Weihua Cao, X. Lai, Luefeng Chen, Cheng-Da Lu, Sheng Du, Jin-Hua She

Computers & industrial engineering

2020

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

Sheng Du, Min Wu, Xin Chen, Weihua Cao

IEEE transactions on industrial electronics (1982. Print)

2020

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

Sheng Du, Min Wu, Luefeng Chen, Weihua Cao, W. Pedrycz

2020

Intelligent Integrated Control for Burn-Through Point to Carbon Efficiency Optimization in Iron Ore Sintering Process

Sheng Du, Min Wu, Xin Chen, Jie Hu, Weihua Cao

IEEE Transactions on Control Systems Technology

2020

A fuzzy PID controller with nonlinear compensation term for mold level of continuous casting process

Ying Feng, Min Wu, Xin Chen, Luefeng Chen, Sheng Du

Information Sciences

2020

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

Sheng Du, Min Wu, Luefeng Chen, Jie Hu, Li Jin, Weihua Cao, W. Pedrycz

IEEE/ASME transactions on mechatronics

2020

時系列データのクラスタ化に基づく鉄鉱石焼結プロセスの運転モード認識【JST・京大機械翻訳】

Sheng Du, Min Wu, Chen Luefeng, Weihua Cao, Pedrycz Witold

2020

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

Sheng Du, Min Wu, Luefeng Chen, Kailong Zhou, Jie Hu, Weihua Cao, W. Pedrycz

IEEE Transactions on Industrial Informatics

2020

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

Sheng Du, Min Wu, Luefeng Chen, Weihua Cao, W. Pedrycz

Control Engineering Practice

2019

Fuzzy PID Control Based on Working Condition Identification for Mould Level in Continuous Casting Process

Ying Feng, Min Wu, Xin Chen, Luefeng Chen, Sheng Du

Asian Control Conference

2019

Hybrid modeling and online optimization strategy for improving carbon efficiency in iron ore sintering process

Jie Hu, Min Wu, Xin Chen, Sheng Du, Weihua Cao, Jin-Hua She

Information Sciences

2019

Intelligent Control System Design for Electric-drive Rig in Complex Geological Drilling Process

Xiao Wu, X. Lai, Jianglong Zhu, Hongbo Huang, Luefeng Chen, Sheng Du, Min Wu

Cybersecurity and Cyberforensics Conference

2018

An Intelligent Control Scheme for Burn-Through Point to Carbon Efficiency Optimization in Iron Ore Sintering Process

Sheng Du, Min Wu, Jin-Hua She

Cybersecurity and Cyberforensics Conference

2018

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

Jie Hu, Min Wu, Xin Chen, Sheng Du, Pan Zhang, Weihua Cao, Jin-Hua She

IEEE transactions on industrial electronics (1982. Print)

2017

Intelligent Coordinating Control Between Burn-Through Point and Mixture Bunker Level in an Iron Ore Sintering Process

Sheng Du, Min Wu, Xin Chen, X. Lai, Weihua Cao

Journal of Advanced Computational Intelligence and Intelligent Informatics

2017

Design of an optimization and control system for carbon efficiency in the green manufacturing of sinter ore

Sheng Du, Min Wu, Xin Chen, Weihua Cao, Jin-Hua She

Cybersecurity and Cyberforensics Conference

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