- Multimode Process Monitoring and Fault Detection: A Sparse Modeling and Dictionary Learning Method被引量：121收藏
- 作者：Peng, Xin Tang, Yang Du, Wenli Qian, Feng
- 机构：East China Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2017
- 关键词：Feature extraction locality preserving projection (LPP) non-Gaussian process performance monitoring sparse coding
- 质疑
- A Review of Real-Time Fault Diagnosis Methods for Industrial Smart Manufacturing被引量：75收藏
- 作者：Yan, Wenhao Wang, Jing Lu, Shan Zhou, Meng Peng, Xin
- 机构：North China Univ Technol;Shenzhen Polytech;East China Univ Sci & Technol
- 来源：PROCESSES 2023
- 关键词：industrial process monitoring machine condition monitoring AI RTFD industrial smart manufacturing
- 质疑
- Distributed process monitoring based on canonical correlation analysis with partly-connected topology被引量：58收藏
- 作者：Peng, Xin Ding, Steven X. Du, Wenli Zhong, Weimin Qian, Feng
- 机构：East China Univ Sci & Technol;Univ Duisburg Essen;Tongji Univ
- 来源：CONTROL ENGINEERING PRACTICE 2020
- 关键词：Fault detection Distributed process monitoring Canonical correlation analysis Residual generation
- 质疑
- Opengcd: Assisting Open World Recognition with Generalized Category Discovery被引量：52收藏
- 作者：Gao, Fulin Zhong, Weimin Cao, Zhixing Peng, Xin Li, Zhi
- 机构： Key Laboratory of Smart Manufacturing in Energy Chemical Process
- 来源：SSRN 2024
- 质疑
- Self-Healing Control for Wastewater Treatment Process Based on Variable-Gain State Observer被引量：47收藏
- 作者：Du, Peihao Zhong, Weimin Peng, Xin Li, Linlin Li, Zhi
- 机构：East China Univ Sci & Technol;East China Univ Sci & Technol;Univ Sci & Technol Beijing;Univ Sci & Technol Beijing
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2023
- 关键词：Adaptive control failure compensation self-healing control variable-gain state observer (VSO) wastewater treatment process (WWTP)
- 质疑
- Online Performance Monitoring and Modeling Paradigm Based on Just-in-Time Learning and Extreme Learning Machine for a Non-Gaussian Chemical Process被引量：46收藏
- 作者：Peng, Xin Tang, Yang Du, Wenli Qian, Feng
- 机构：East China Univ Sci & Technol
- 来源：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2017
- 关键词：Gaussian noise (electronic) - Just in time production - Learning systems - E-learning - Gaussian distribution - Knowledge acquisition
- 质疑
- HiPerformer: A High-Performance Global–Local Segmentation Model with Modular Hierarchical Fusion Strategy被引量：45收藏
- 作者：Tan, Dayu Xu, Zhenpeng Su, Yansen Peng, Xin Zheng, Chunhou Zhong, Weimin
- 机构： Key Laboratory of Intelligent Computing and Signal Processing; Key Laboratory of Smart Manufacturing in Energy Chemical Process
- 来源：arXiv 2025
- 关键词：Medical image processing - Semantics - Signal encoding
- 质疑
- Teacher-Student Uncertainty Autoencoder for the Process-Relevant and Quality-Relevant Fault Detection in the Industrial Process被引量：45收藏
- 作者：Yang, Dan Peng, Xin Lu, Yusheng Huang, Haojie Zhong, Weimin
- 机构： East China University of Science and Technology
- 来源：IEEE Transactions on Artificial Intelligence 2023
- 关键词：Fault detection - Feature extraction - Gaussian distribution - Gaussian noise (electronic) - Iterative methods - Learning systems - Personnel training - Process monitoring - Reclamation - Students - Uncertainty analysis
- 质疑
- Asynchronous double consensus-based distributed optimization for sustainable industrial utility systems被引量：44收藏
- 作者：Kong, Minxue Peng, Xin Li, Zhi Shen, Feifei Liu, Yurong Zhong, Weimin
- 机构： State Key Laboratory of Chemical Engineering and Low-Carbon Technology; School of Information Science and Engineering; Key Laboratory of Smart Manufacturing in Energy Chemical Process; State Key Laboratory of Industrial Control Technology
- 来源：Energy 2025
- 关键词：Electric manufacturing plants - Gas plants - Location - NP-hard - Solar fuels - Solar heating - Topology
- 质疑
- Distributed partial least squares based residual generation for statistical process monitoring被引量：43收藏
- 作者：Tong, Chudong Lan, Ting Yu, Haizhen Peng, Xin
- 机构：Ningbo Univ;East China Univ Sci & Technol
- 来源：JOURNAL OF PROCESS CONTROL 2019
- 关键词：Residual generation Partial least squares Principal component analysis Statistical process monitoring
- 质疑
- Deep adaptive fuzzy clustering for evolutionary unsupervised representation learning被引量：42收藏
- 作者：Tan, Dayu Huang, Zheng Peng, Xin Zhong, Weimin Mahalec, Vladimir
- 机构： Key Laboratory of Advanced Control and Optimization for Chemical Processes; School of Engineering Practice and Technology; Shanghai Institute of Intelligent Science and Technology; Department of Chemical Engineering
- 来源：arXiv 2021
- 关键词：Cluster analysis - Convolutional neural networks - Deep neural networks - Fuzzy inference - Fuzzy neural networks - Iterative methods - Quality control - Unsupervised learning
- 质疑
- MSD-KMamba: Bidirectional Spatial-Aware Multi-Modal 3D Brain Segmentation via Multi-scale Self-Distilled Fusion Strategy被引量：42收藏
- 作者：Tan, Dayu Zhang, Ziwei Su, Yansan Peng, Xin Dai, Yike Zheng, Chunhou Zhong, Weimin
- 机构： Key Laboratory of Intelligent Computing and Signal Processing; Key Laboratory of Smart Manufacturing in Energy Chemical Process; Department of Orthopedic
- 来源：arXiv 2025
- 关键词：Brain - Computational complexity - Computational efficiency - Distillation - Extraction - Feature extraction - Medical image processing - Semantics
- 质疑
- Representation evaluation block-based teacher-student network for the industrial quality-relevant performance modeling and monitoring被引量：40收藏
- 作者：Yang, Dan Peng, Xin Lu, Yusheng Huang, Haojie Zhong, Weimin
- 机构： Key Laboratory of Advanced Control and Optimization for Chemical Processes; Shanghai Institute of Intelligent Science and Technology
- 来源：arXiv 2021
- 关键词：Fault detection - Industrial water treatment - Learning systems - Process control - Process monitoring - Students - Uncertainty analysis
- 质疑
- Performance-guaranteed adaptive self-healing control for wastewater treatment processes被引量：39收藏
- 作者：Du, Peihao Peng, Xin Li, Zhongmei Li, Linlin Zhong, Weimin
- 机构：East China Univ Sci & Technol;Univ Sci & Technol Beijing
- 来源：JOURNAL OF PROCESS CONTROL 2022
- 关键词：Self-healing control Adaptive control Wastewater treatment processes (WWTPs) Non-ideal actuator User-defined performance
- 质疑
- Owfd-Up: An Open-World Fault Diagnosis Scheme Based on Uncertainty and Prototypes被引量：39收藏
- 作者：Gao, Fulin Zhong, Weimin Jiang, Qingchao Peng, Xin Li, Zhi
- 机构： Key Laboratory of Smart Manufacturing in Energy Chemical Process
- 来源：SSRN 2023
- 关键词：Fault detection - Feature Selection - Standardization - Uncertainty analysis - Wastewater treatment
- 质疑
- Distributed data-driven optimal fault detection for large-scale systems被引量：38收藏
- 作者：Li, Linlin Ding, Steven X. Peng, Xin
- 机构：Univ Sci & Technol Beijing;East China Univ Sci & Technol;Univ Duisburg Essen
- 来源：JOURNAL OF PROCESS CONTROL 2020
- 关键词：Fault detection Large-scale systems Data-driven Distributed fault detection
- 质疑
- A Novel Interpretable Ensemble Learning Method for NIR-Based Rapid Characterization of Petroleum Products被引量：38收藏
- 作者：Yu, Huijing Li, Yuqiang Du, Wenli Yang, Minglei Peng, Xin Wang, Xinjie Long, Jian
- 机构：East China Univ Sci & Technol;East China Univ Sci & Technol;Qingyuan Innovat Lab
- 来源：IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2023
- 关键词：Predictive models Petroleum Reliability Ensemble learning Semantics Prediction algorithms Training interpretable machine learning near-infrared (NIR) spectroscopy small sample problem
- 质疑
- Regularized Wasserstein Distance-Based Joint Distribution Adaptation Approach for Fault Detection Under Variable Working Conditions被引量：36收藏
- 作者：Yang, Dan Peng, Xin Su, Cheng Li, Linlin Cao, Zhixing Zhong, Weimin
- 机构：East China Univ Sci & Technol;Univ Sci & Technol Beijing;Qingyuan Innovat Lab
- 来源：IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2024
- 关键词：Domain adaptation fault detection linear discriminant analysis Wasserstein distance (WD) wastewater treatment process (WWTP)
- 质疑
- Online Quality Prediction of Industrial Terephthalic Acid Hydropurification Process Using Modified Regularized Slow-Feature Analysis被引量：34收藏
- 作者：Zhong, Weimin Jiang, Chao Peng, Xin Li, Zhi Qian, Feng
- 机构：East China Univ Sci & Technol
- 来源：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2018
- 关键词：Forecasting - Textile industry - Learning systems - Quality control
- 质疑
- OpenGCD: Assisting Open World Recognition with Generalized Category Discovery被引量：33收藏
- 作者：Gao, Fulin Zhong, Weimin Cao, Zhixing Peng, Xin Li, Zhi
- 机构： Key Laboratory of Smart Manufacturing in Energy Chemical Process
- 来源：arXiv 2023
- 关键词：Classification (of information)
- 质疑
- Fault Diagnosis Strategy for Few Shot Industrial Process Based on Data Augmentation and Depth Information Extraction被引量：32收藏
- 作者：Tian, Ying Xiang, Xin Peng, Xin Zhong, Yin Zhang, Wei
- 机构： Department of control science and Engineering; Key Laboratory of Advanced Control and Optimization for Chemical Processes
- 来源：SSRN 2022
- 关键词：Data mining - Fault detection - Generative adversarial networks
- 质疑
- Data-Driven Stochastic Robust Optimization for Industrial Energy System Considering Renewable Energy Penetration被引量：32收藏
- 作者：Shen, Feifei Zhao, Liang Du, Wenli Zhong, Weimin Peng, Xin Qian, Feng
- 机构：East China Univ Sci & Technol;Tongji Univ
- 来源：ACS SUSTAINABLE CHEMISTRY & ENGINEERING 2022
- 关键词：industrial energy system stochastic robust optimization machine learning renewable energy uncertainty multiobjective optimization
- 质疑
- Reinforcement Learning Based Gasoline Blending Optimization: Achieving More Efficient Nonlinear Online Blending of Fuels被引量：32收藏
- 作者：Huang, Muyi He, Renchu Dai, Xin Peng, Xin Du, Wenli Qian, Feng
- 机构： Key Laboratory of Smart Manufacturing in Energy Chemical Process; Shanghai Institute of Intelligent Science and Technology
- 来源：arXiv 2023
- 关键词：Deep learning - E-learning - Gasoline - Learning algorithms - Markov processes - Refining - Reinforcement learning
- 质疑
- Operation optimization of hydrocracking process based on Kriging surrogate model被引量：32收藏
- 作者：Zhong, Weimin Qiao, Cheng Peng, Xin Li, Zhi Fan, Chen Qian, Feng
- 机构：East China Univ Sci & Technol
- 来源：CONTROL ENGINEERING PRACTICE 2019
- 关键词：Hydrocracking process Kriging surrogate model GLSS algorithm Optimization of operating condition
- 质疑
- Optimal Observer-Based Fault Detection and Estimation Approaches for T-S Fuzzy Systems被引量：30收藏
- 作者：Li, Linlin Ding, Steven X. Peng, Xin
- 机构：Univ Sci & Technol Beijing;East China Univ Sci & Technol;Univ Duisburg Essen
- 来源：IEEE TRANSACTIONS ON FUZZY SYSTEMS 2022
- 关键词：Estimation Fuzzy systems Fault detection Optimization Observers Robustness Generators Fault detection (FD) fault estimation least squares (LS) estimation unified solution
- 质疑
- A deep learning-based robust optimization approach for refinery planning under uncertainty被引量：29收藏
- 作者：Wang, Cong Peng, Xin Shang, Chao Fan, Chen Zhao, Liang Zhong, Weimin
- 机构：East China Univ Sci & Technol;Tsinghua Univ;Tongji Univ
- 来源：COMPUTERS & CHEMICAL ENGINEERING 2021
- 关键词：Refinery planning Robust optimization Deep learning Price uncertainty Data-driven
- 质疑
- Concurrent Monitoring Strategy for Static and Dynamic Deviations Based on Selective Ensemble Learning Using Slow Feature Analysis被引量：25收藏
- 作者：Hong, Huifen Jiang, Chao Peng, Xin Zhong, Weimin
- 机构：East China Univ Sci & Technol;Univ Duisburg Essen;Tongji Univ;Univ Alberta
- 来源：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2020
- 关键词：Principal component analysis - Learning systems - Process control - Bayesian networks - Clustering algorithms - Fault detection - Inference engines
- 质疑
- Robust and sparse canonical correlation analysis for fault detection and diagnosis using training data with outliers被引量：25收藏
- 作者：Luo, Lijia Wang, Weida Bao, Shiyi Peng, Xin Peng, Yigong
- 机构：Zhejiang Univ Technol;East China Univ Sci & Technol;East China Univ Sci & Technol
- 来源：EXPERT SYSTEMS WITH APPLICATIONS 2024
- 关键词：Canonical correlation analysis Outlier Robustness Sparsity Fault detection and diagnosis
- 质疑
- Observer-Based Secure Event-Triggered Bipartite Consensus Control of Linear Multiagent Systems Subject to Denial-of-Service Attacks被引量：25收藏
- 作者：Wang, Qiang Diao, Weilu Zino, Lorenzo Peng, Xin Zhong, Weimin
- 机构：East China Univ Sci & Technol;Univ Groningen
- 来源：IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 2022
- 关键词：Linear multi-agent systems (MASs) secure bipartite consensus observer-based dynamic event-triggered strategy (ObdES) fully distributed control DoS attacks
- 质疑
- A Novel Hybrid-Action-Based Deep Reinforcement Learning for Industrial Energy Management被引量：24收藏
- 作者：Lu, Renzhi Jiang, Zhenyu Yang, Tao Chen, Ying Wang, Dong Peng, Xin
- 机构：Huazhong Univ Sci & Technol;Huazhong Univ Sci & Technol;Huazhong Univ Sci & Technol;Huazhong Univ Sci & Technol;Northeastern Univ
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2024
- 关键词：Energy management Costs Power generation Renewable energy sources Optimization Load modeling Uncertainty Deep reinforcement learning (DRL) energy management hybrid actions industrial energy system
- 质疑
