- A Novel Dynamic Weight Principal Component Analysis Method and Hierarchical Monitoring Strategy for Process Fault Detection and Diagnosis被引量：105收藏
- 作者：Tao, Yang Shi, Hongbo Song, Bing Tan, Shuai
- 机构：East China Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2020
- 关键词：Monitoring Principal component analysis Heuristic algorithms Fault detection Fault diagnosis data models Industries Dynamic weight principal component analysis (DWPCA) fault detection fault diagnosis hierarchical process monitoring
- 质疑
- Multisubspace Orthogonal Canonical Correlation Analysis for Quality-Related Plant-Wide Process Monitoring被引量：69收藏
- 作者：Song, Bing Shi, Hongbo Tan, Shuai Tao, Yang
- 机构：East China Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2021
- 关键词：Monitoring Correlation Quality assessment Product design Real-time systems Process control Informatics data-driven plant-wide process monitoring quality related real-time
- 质疑
- Rolling Bearing Initial Fault Detection Using Long Short-Term Memory Recurrent Network被引量：67收藏
- 作者：Shi, Huaitao Guo, Lei Tan, Shuai Bai, Xiaotian
- 机构：Shenyang Jianzhu Univ;East China Univ Sci & Technol
- 来源：IEEE ACCESS 2019
- 关键词：Rolling bearing fault diagnosis long-short-term memory
- 质疑
- Fault detection and diagnosis via standardized k nearest neighbor for multimode process被引量：59收藏
- 作者：Song, Bing Tan, Shuai Shi, Hongbo Zhao, Bo
- 机构：East China Univ Sci & Technol
- 来源：JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS 2020
- 关键词：Multimode process Fault detection Fault diagnosis Standardized distance k nearest neighbor
- 质疑
- Multisubspace Elastic Network for Multimode Quality-Related Process Monitoring被引量：53收藏
- 作者：Song, Bing Yan, Huaicheng Shi, Hongbo Tan, Shuai
- 机构：East China Univ Sci & Technol;Tongji Univ
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2020
- 关键词：Clustering algorithms Partitioning algorithms Hidden Markov models Informatics Feature extraction Fault detection fault diagnosis multimode process process monitoring quality related
- 质疑
- Consistency Regularization Auto-Encoder Network for Semi-Supervised Process Fault Diagnosis被引量：52收藏
- 作者：Ma, Yao Shi, Hongbo Tan, Shuai Tao, Yang Song, Bing
- 机构：East China Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2022
- 关键词：Fault diagnosis Feature extraction Training Semisupervised learning data models Supervised learning Deep learning Consistency regularization (CR) data augmentation encoder--decoder fault diagnosis semi-supervised
- 质疑
- Convolutional Neural Network Based Feature Learning for Large-Scale Quality-Related Process Monitoring被引量：51收藏
- 作者：Zhu, Jiazhen Shi, Hongbo Song, Bing Tao, Yang Tan, Shuai
- 机构：East China Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2022
- 关键词：Convolutional neural networks Feature extraction Kernel Process monitoring Convolution Redundancy Informatics Convolutional neural network (CNN) plant wide process monitoring quality related
- 质疑
- Parallel quality-related dynamic principal component regression method for chemical process monitoring被引量：47收藏
- 作者：Tao, Yang Shi, Hongbo Song, Bing Tan, Shuai
- 机构：East China Univ Sci & Technol
- 来源：JOURNAL OF PROCESS CONTROL 2019
- 关键词：Additive fault Multiplicative fault Principal Component regression Process monitoring
- 质疑
- Information concentrated variational auto-encoder for quality-related nonlinear process monitoring被引量：47收藏
- 作者：Zhu, Jiazhen Shi, Hongbo Song, Bing Tao, Yang Tan, Shuai
- 机构：East China Univ Sci & Technol
- 来源：JOURNAL OF PROCESS CONTROL 2020
- 关键词：Process monitoring Variational auto-encoder Quality-related Feature extraction
- 质疑
- Process monitoring via enhanced neighborhood preserving embedding被引量：40收藏
- 作者：Song, Bing Tan, Shuai Shi, Hongbo
- 机构：E China Univ Sci & Technol
- 来源：CONTROL ENGINEERING PRACTICE 2016
- 关键词：Process monitoring Neighborhood preserving embedding Dual weight matrix Enhanced objective function Enhanced neighborhood preserving embedding
- 质疑
- Hidden Markov Model-Based Fault Detection Approach for a Multimode Process被引量：39收藏
- 作者：Wang, Fan Tan, Shuai Yang, Yawei Shi, Hongbo
- 机构：E China Univ Sci & Technol
- 来源：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2016
- 关键词：Fault detection - Process monitoring - Barium compounds
- 质疑
- Key principal components with recursive local outlier factor for multimode chemical process monitoring被引量：39收藏
- 作者：Song, Bing Tan, Shuai Shi, Hongbo
- 机构：East China Univ Sci & Technol
- 来源：JOURNAL OF PROCESS CONTROL 2016
- 关键词：Multimode process monitoring Principal component analysis Recursive local outlier factor Cumulative percent expression Key principal components
- 质疑
- Novel Monitoring Strategy Combining the Advantages of the Multiple Modeling Strategy and Gaussian Mixture Model for Multimode Processes被引量：36收藏
- 作者：Zhang, Shumei Wang, Fuli Tan, Shuai Wang, Shu Chang, Yuqing
- 机构：Northeastern Univ;Northeastern Univ;Northeastern Univ;E China Univ Sci & Technol
- 来源：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2015
- 关键词：Gaussian distribution
- 质疑
- Hidden Markov model-based approach for multimode process monitoring被引量：33收藏
- 作者：Wang, Fan Tan, Shuai Shi, Hongbo
- 机构：E China Univ Sci & Technol
- 来源：CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2015
- 关键词：Hidden Markov model Fault detection Multimode Mode identification
- 质疑
- Deep neural network based recursive feature learning for nonlinear dynamic process monitoring被引量：31收藏
- 作者：Zhu, Jiazhen Shi, Hongbo Song, Bing Tan, Shuai Tao, Yang
- 机构：East China Univ Sci & Technol
- 来源：CANADIAN JOURNAL OF CHEMICAL ENGINEERING 2020
- 关键词：dynamic process fault detection process monitoring stacked denoising auto-encoder
- 质疑
- Multiblock temporal convolution network-based temporal-correlated feature learning for fault diagnosis of multivariate processes被引量：30收藏
- 作者：He, Yumin Shi, Hongbo Tan, Shuai Song, Bing Zhu, Jiazhen
- 机构：East China Univ Sci & Technol
- 来源：JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS 2021
- 关键词：Convolutional neural network Deep learning Temporal-correlation Fault diagnosis
- 质疑
- A knowledge-driven spatial-temporal graph neural network for quality-related fault detection被引量：27收藏
- 作者：Guo, Lei Shi, Hongbo Tan, Shuai Song, Bing Tao, Yang
- 机构：East China Univ Sci & Technol
- 来源：PROCESS SAFETY AND ENVIRONMENTAL PROTECTION 2024
- 关键词：Quality indicator Process monitoring Graph attention networks Spatial-temporal characteristics
- 质疑
- A Fault-Targeted Gated Recurrent Unit-Canonical Correlation Analysis Method for Incipient Fault Detection被引量：27收藏
- 作者：Song, Bing Zheng, Chengfeng Jin, Yuting Shi, Hongbo Tao, Yang Tan, Shuai
- 机构：East China Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2024
- 关键词：Feature extraction Fault detection Training Logic gates data models Monitoring Correlation Canonical correlation analysis fault detection gated recurrent unit incipient fault multitier monitoring strategy
- 质疑
- Performance monitoring method based on balanced partial least square and Statistics Pattern Analysis被引量：25收藏
- 作者：Yang, Jian Lv, Zheng Shi, Hongbo Tan, Shuai
- 机构：East China Univ Sci & Technol
- 来源：ISA TRANSACTIONS 2018
- 关键词：Variable classification Quality prediction Performance monitoring Statistics pattern analysis Partial least square
- 质疑
- Dynamic learning on the manifold with constrained time information and its application for dynamic process monitoring被引量：25收藏
- 作者：Yang, Jian Zhang, Mingshan Shi, Hongbo Tan, Shuai
- 机构：East China Univ Sci & Technol
- 来源：CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2017
- 关键词：Dynamic characteristic Process monitoring Time information Serial correlation
- 质疑
- Subspace monitoring based on full variable information被引量：22收藏
- 作者：Lü, Xiaotiao Song, Bing Tan, Shuai Shi, Hongbo
- 机构： Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education
- 来源：Huagong Xuebao/CIESC Journal 2015
- 关键词：Process control - Bayesian networks - Chemical analysis - Inference engines - Numerical methods - Principal component analysis
- 质疑
- Process Monitoring Based on Performance-Triggered Scheme被引量：22收藏
- 作者：Ming-shan, Zhang Yang, Jian Tan, Shuai Hong-bo, Shi
- 机构： Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education
- 来源：[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China 2018
- 关键词：Regression analysis - Learning systems - Process control - Process monitoring - Numerical methods
- 质疑
- A Distributed Adaptive Monitoring Method for Performance Indicator in Large-Scale Dynamic Process被引量：21收藏
- 作者：Tao, Yang Shi, Hongbo Song, Bing Tan, Shuai
- 机构：East China Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2023
- 关键词：Distributed adaptive principal component regression fault detection multivariate statistics performance indicator process monitoring
- 质疑
- Specific index-related process monitoring using a two-step information extraction method被引量：20收藏
- 作者：Zhao, Bo Song, Bing Tan, Shuai Shi, Hongbo
- 机构： Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education
- 来源：Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018 2018
- 质疑
- Quality-related Fault Detection Method Based on LASSO-Orthogonal Canonical Correlation Analysis被引量：20收藏
- 作者：Song, Bing Jin, Yuting Guo, Tao Shi, Hongbo Tao, Yang Tan, Shuai
- 机构： East China University of Science and Technology
- 来源：Chinese Control Conference, CCC 2022
- 关键词：Correlation methods - Shrinkage
- 质疑
- Time-space locality preserving coordination for multimode process monitoring被引量：19收藏
- 作者：Song, Bing Tan, Shuai Shi, Hongbo
- 机构：E China Univ Sci & Technol
- 来源：CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2016
- 关键词：Multimode process monitoring Time-space locality preserving coordination Internal representation Posterior probability Global model
- 质疑
- Sensor Fault Detection and Diagnosis Using Graph Convolutional Network Combining Process Knowledge and Process data被引量：17收藏
- 作者：Guo, Lei Shi, Hongbo Tan, Shuai Song, Bing Tao, Yang
- 机构：East China Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2023
- 关键词：Graph neural networks (GNNs) process monitoring sensor fault detection sensor fault isolation
- 质疑
- Modeling and simulation of iron ore pellet drying and induration process with accurate bed void fraction calculation被引量：16收藏
- 作者：Tan, Shuai Peng, Jun Shi, Hongbo
- 机构：E China Univ Sci & Technol;Huawei Technol Co Ltd
- 来源：DRYING TECHNOLOGY 2016
- 关键词：Adams-Moulton's method algorithm dropping and rolling rules explicit finite difference grate-kiln system iron ore pellet packing algorithm
- 质疑
- Rolling Bearing Incipient Fault Detection via Optimized VMD Using Mode Mutual Information被引量：15收藏
- 作者：Tan, Shuai Wang, Aimin Shi, Hongbo Guo, Lei
- 机构：East China Univ Sci & Technol
- 来源：INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS 2022
- 关键词：Cuckoo search fault detection mutual information rolling bearing variational mode decomposition
- 质疑
- Nonlinear process monitoring based on load weighted denoising autoencoder被引量：14收藏
- 作者：Zhu, Jiazhen Shi, Hongbo Song, Bing Tao, Yang Tan, Shuai Zhang, Tianqing
- 机构：East China Univ Sci & Technol;Shanghai Shixiang Technol Corp
- 来源：MEASUREMENT 2021
- 关键词：Denoising autoencoder Nonlinear process Fault detection Online weighting strategy
- 质疑
