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128 条 记 录,以下是 1-30

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Multimode Process Monitoring and Fault Detection: A Sparse Modeling and Dictionary Learning Method被引量:121收藏 分享
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  
A Review of Real-Time Fault Diagnosis Methods for Industrial Smart Manufacturing被引量:75收藏 分享
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  
Distributed process monitoring based on canonical correlation analysis with partly-connected topology被引量:58收藏 分享
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  
Self-Healing Control for Wastewater Treatment Process Based on Variable-Gain State Observer被引量:47收藏 分享
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)  
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 分享
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  
Distributed partial least squares based residual generation for statistical process monitoring被引量:43收藏 分享
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  
Performance-guaranteed adaptive self-healing control for wastewater treatment processes被引量:39收藏 分享
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  
A Novel Interpretable Ensemble Learning Method for NIR-Based Rapid Characterization of Petroleum Products被引量:38收藏 分享
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  
Distributed data-driven optimal fault detection for large-scale systems被引量:38收藏 分享
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  
Regularized Wasserstein Distance-Based Joint Distribution Adaptation Approach for Fault Detection Under Variable Working Conditions被引量:36收藏 分享
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)  
Online Quality Prediction of Industrial Terephthalic Acid Hydropurification Process Using Modified Regularized Slow-Feature Analysis被引量:34收藏 分享
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  
Operation optimization of hydrocracking process based on Kriging surrogate model被引量:32收藏 分享
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  
Data-Driven Stochastic Robust Optimization for Industrial Energy System Considering Renewable Energy Penetration被引量:32收藏 分享
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  
Optimal Observer-Based Fault Detection and Estimation Approaches for T-S Fuzzy Systems被引量:30收藏 分享
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  
A deep learning-based robust optimization approach for refinery planning under uncertainty被引量:29收藏 分享
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  
Concurrent Monitoring Strategy for Static and Dynamic Deviations Based on Selective Ensemble Learning Using Slow Feature Analysis被引量:25收藏 分享
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  
Robust and sparse canonical correlation analysis for fault detection and diagnosis using training data with outliers被引量:25收藏 分享
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  
Observer-Based Secure Event-Triggered Bipartite Consensus Control of Linear Multiagent Systems Subject to Denial-of-Service Attacks被引量:25收藏 分享
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  
Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning被引量:24收藏 分享
作者:Tan, Dayu Huang, Zheng Peng, Xin Zhong, Weimin Mahalec, Vladimir
机构:Anhui Univ;East China Univ Sci & Technol;McMaster Univ
来源:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS  2024
关键词:Representation learning   Feature extraction   Training   Clustering methods   Adaptation models   Neural networks   Image reconstruction   Adaptive loss   ConvNets   deep clustering   feature extraction (FE)   fuzzy membership   representation learning  
A Novel Hybrid-Action-Based Deep Reinforcement Learning for Industrial Energy Management被引量:24收藏 分享
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  
Model-Agnostic Meta-Learning With Optimal Alternative Scaling Value and Its Application to Industrial Soft Sensing被引量:23收藏 分享
作者:Lu, Yusheng Peng, Xin Yang, Dan Yang, Minglei Zhong, Weimin
机构:East China Univ Sci & Technol
来源:IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS  2021
关键词:Training   Adaptation models   Sensors   Predictive models   Informatics   Task analysis   Optimization   Continuous catalytic reforming process   deep learning   meta-learning   online quality prediction   soft sensor  
Real-Time Semisupervised Predictive Modeling Strategy for Industrial Continuous Catalytic Reforming Process with Incomplete Data Using Slow Feature Analysis被引量:22收藏 分享
作者:Jiang, Chao Zhong, Weimin Li, Zhi Peng, Xin Yang, Minglei
机构:East China Univ Sci & Technol;Tongji Univ
来源:INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH  2019
关键词:Feedstocks - Gasoline - Petroleum industry - Naphthas - Quality control - Chemical analysis - Principal component analysis - Catalytic reforming - Aromatic hydrocarbons  
A Just-in-Time Learning Based Monitoring and Classification Method for Hyper/Hypocalcemia Diagnosis被引量:20收藏 分享
作者:Peng, Xin Tang, Yang He, Wangli Du, Wenli Qian, Feng
机构:East China Univ Sci & Technol
来源:IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS  2018
关键词:Calcium regulation   calcium-related pathologies   feature extraction   Just-in-Time modeling   mixture models   non-Gaussian process   online modeling   performance monitoring  
Transferable Deep Slow Feature Network With Target Feature Attention for Few-Shot Time-Series Prediction被引量:19收藏 分享
作者:Yang, Dan Peng, Xin Jiang, Chao Wu, Xiaolong Ding, Steven X. Zhong, Weimin
机构:East China Univ Sci & Technol;Beijing Univ Technol;Beijing Univ Technol;Univ Duisburg Essen
来源:IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS  2024
关键词:Feature extraction   Time series analysis   Training   Probabilistic logic   Bayes methods   Probability distribution   Monitoring   Bayesian inference   gate recurrent unit   slow feature analysis (SFA)   transfer learning (TL)   wastewater treatment process (WWTP)  
Robust monitoring of industrial processes using process data with outliers and missing values被引量:19收藏 分享
作者:Luo, Lijia Bao, Shiyi Peng, Xin
机构:Zhejiang Univ Technol;East China Univ Sci & Technol
来源:CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS  2019
关键词:Robust estimation   Cellwise outliers   Missing data   Process monitoring   Fault detection and diagnosis  
Neural networks with upper and lower bound constraints and its application on industrial soft sensing modeling with missing values被引量:18收藏 分享
作者:Lu, Yusheng Yang, Dan Li, Zhongmei Peng, Xin Zhong, Weimin
机构:East China Univ Sci & Technol
来源:KNOWLEDGE-BASED SYSTEMS  2022
关键词:Neural network   Upper and lower bound   Missing value   Soft sensing  
Carbon-efficient production planning for long-chain integrated refinery-petrochemical processes: A material-energy-carbon optimization perspective被引量:18收藏 分享
作者:Zhang, Tingwei Shen, Feifei Peng, Xin Li, Zhi Zhong, Weimin
机构:East China Univ Sci & Technol
来源:JOURNAL OF CLEANER PRODUCTION  2023
关键词:Integrated refinery-petrochemical process   Material-energy-carbon optimization   Production planning   Process carbon efficiency  
Quality-relevant feature extraction method based on teacher-student uncertainty autoencoder and its application to soft sensors被引量:17收藏 分享
作者:Lu, Yusheng Jiang, Chao Yang, Dan Peng, Xin Zhong, Weimin
机构:East China Univ Sci & Technol
来源:INFORMATION SCIENCES  2022
关键词:Autoencoder   Representation learning   Soft sensor   Teacher-student network  
A Sparse Nonstationary Trigonometric Gaussian Process Regression and Its Application on Nitrogen Oxide Prediction of the Diesel Engine被引量:16收藏 分享
作者:Huang, Haojie Song, Yedong Peng, Xin Ding, Steven X. Zhong, Weimin Du, Wei
机构:East China Univ Sci & Technol;Weichai Power Co Ltd;Univ Duisburg Essen
来源:IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS  2021
关键词:Kernel   Gaussian processes   Informatics   Computational complexity   Standards   Sparse representation   Diesel engines   Gaussian process regression (GPR)   nonstationarity   sparse Gaussian process regression  
Key performance index estimation based on ensemble locally weighted partial least squares and its application on industrial nonlinear processes被引量:16收藏 分享
作者:Chen, Xin Zhong, Weimin Jiang, Chao Li, Zhi Peng, Xin Cheng, Hui
机构:East China Univ Sci & Technol;Tongji Univ;Univ Alberta
来源:CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS  2020
关键词:Locally weighted partial least squares   Soft sensors   Ensemble learning   Quality prediction   Catalytic reforming process  
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