- 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
- Performance-Indicator-Oriented Concurrent Subspace Process Monitoring Method被引量：76收藏
- 作者：Song, Bing Zhou, Xinggui Shi, Hongbo Tao, Yang
- 机构：East China Univ Sci & Technol;East China Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2019
- 关键词：Concurrent subspace performance indicator process monitoring process safety product quality
- 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
- 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
- EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning in Vision Transformers被引量：55收藏
- 作者：Liao, Wenwen Ruan, Hang Yu, Jianbo Song, Bing Wang, Yuansong Yang, Xiaofeng
- 机构： College of Intelligent Robotics and Advance Manufacturing; School of Microelectronics; School of Information Science and Engineering; Tsinghua Shenzhen International Graduate School
- 来源：arXiv 2026
- 关键词：Classification (of information) - Machine vision - Program processors - Query processing - Structured Query Language - Tuning
- 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
- Multimode process monitoring using improved dynamic neighborhood preserving embedding被引量：51收藏
- 作者：Song, Bing Ma, Yuxin Shi, Hongbo
- 机构：E China Univ Sci & Technol
- 来源：CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2014
- 关键词：Multimode Dynamic behaviors Serial correlation Neighborhood preserving embedding Fault detection
- 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
- Fault Detection and Classification Using Quality-Supervised Double-Layer Method被引量：50收藏
- 作者：Song, Bing Shi, Hongbo
- 机构：East China Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2018
- 关键词：Fault classification fault detection principal component analysis (PCA) quality quality-related fault detection
- 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
- Fault detection via local and nonlocal embedding被引量：41收藏
- 作者：Ma, Yuxin Song, Bing Shi, Hongbo Yang, Yawei
- 机构：E China Univ Sci & Technol
- 来源：CHEMICAL ENGINEERING RESEARCH & DESIGN 2015
- 关键词：Fault detection Manifold learning 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
- 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
- Temporal-Spatial Global Locality Projections for Multimode Process Monitoring被引量：34收藏
- 作者：Song, Bing Shi, Hongbo
- 机构：East China Univ Sci & Technol
- 来源：IEEE ACCESS 2018
- 关键词：Multimode process monitoring temporal and spatial scale local and global structure temporal-spatial global locality projections
- 质疑
- A Semi-Supervised Fault Diagnosis Approach Using Feature-Aligned Ensemble Stacked Autoencoders被引量：33收藏
- 作者：Song, Bing Zhang, Junshuai Shi, Hongbo
- 机构： East China University of Science and Technology
- 来源：SAFEPROCESS 2025 - 14th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes 2025
- 关键词：Computer aided diagnosis - Labeled data - Learning systems - Semi-supervised learning
- 质疑
- Multisubspace Principal Component Analysis with Local Outlier Factor for Multimode Process Monitoring被引量：33收藏
- 作者：Song, Bing Shi, Hongbo Ma, Yuxin Wang, Jianping
- 机构：E China Univ Sci & Technol
- 来源：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2014
- 关键词：Process control - Process monitoring - Statistics - Cluster analysis - Factor analysis - Iterative methods - Chemical analysis
- 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
- Coordinated Optimization of PV-ES Charging Stations and Integrated Energy Communities with Energy Sharing and Revenue Allocation被引量：30收藏
- 作者：Wei, Jijiao Li, Zhichen Yan, Huaicheng Xu, Jing Song, Bing Zhao, Zhongqi
- 机构： East China University of Science and Technology; State Grid Qinghai Electric Power Company
- 来源：2026 14th International Conference on Intelligent Control and Information Processing, ICICIP 2026 2026
- 关键词：Charge storage - Charging (batteries) - Electric vehicles - Natural resources - Optimization - Power markets - Renewable energy
- 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
- Quality-related fault detection based on mutual information principal component analysis被引量：27收藏
- 作者：Zhao, Shuai Song, Bing Shi, Hongbo
- 机构： Key Laboratory of Advanced Control and Optimization for Chemical Processes
- 来源：Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017 2017
- 质疑
- Plant-Wide Process Incipient Fault Detection via Double-Layer Subspace Weighted Moving Window Reconstruction ICA被引量：26收藏
- 作者：Song, Bing Song, YiMeng Shi, Hongbo Jiang, QingChao
- 机构： East China University of Science and Technology
- 来源：Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2024
- 关键词：Image reconstruction - Inference engines
- 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
- Temporal-Spatial Neighborhood Enhanced Sparse Autoencoder for Nonlinear Dynamic Process Monitoring被引量：21收藏
- 作者：Li, Nanxi Shi, Hongbo Song, Bing Tao, Yang
- 机构：East China Univ Sci & Technol
- 来源：PROCESSES 2020
- 关键词：dynamic process fault detection temporal-spatial neighborhood sparse autoencoder Bayesian
- 质疑
- Multi-block dynamic weighted principal component regression strategy for dynamic plant-wide process monitoring被引量：21收藏
- 作者：Rong, Mengyu Shi, Hongbo Song, Bing Tao, Yang
- 机构：East China Univ Sci & Technol
- 来源：MEASUREMENT 2021
- 关键词：Distributed monitoring Quality-related fault detection Dynamic weighted principal component regression Plant-wide process
- 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
