成果/Result
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- A semi-supervised feature contrast convolutional neural network for processes fault diagnosis被引量：14收藏
- 作者：Yang, Yuguo Shi, Hongbo Tao, Yang Ma, Yao Song, Bing Tan, Shuai
- 机构：East China Univ Sci & Technol
- 来源：JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS 2023
- 关键词：Convolutional neural network Unit features extraction Fault diagnosis Semi-supervised learning Contrastive learning
- Hierarchical Latent Variable Extraction and Multisegment Probability Density Analysis Method for Incipient Fault Detection被引量：14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 2022
- 关键词：Monitoring Data mining Fault detection Indexes Heuristic algorithms Informatics Feature extraction Fault detection hierarchical latent variable extraction incipient fault minor fault multisegment probability density analysis
- Relevance variable selection variational auto-encoder network for quality-related nonlinear process monitoring被引量：14收藏
- 作者：Ma, Yao Shi, Hongbo Tan, Shuai Song, Bing Tao, Yang
- 机构：East China Univ Sci & Technol
- 来源：APPLIED SOFT COMPUTING 2024
- 关键词：Variable selection Fault variable localization Quality-related Process monitoring Nonlinear
- Plant-Wide Process Fine-Scale Monitoring via Distributed Static Magnitude-Dynamic Difference被引量：13收藏
- 作者：Song, Bing Song, Yimeng Jin, Yuting Shi, Hongbo Tao, Yang Tan, Shuai
- 机构：East China Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2023
- 关键词：Data driven fault detection plant-wide process process monitoring
