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89 条 记 录,以下是 1-30

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A Novel Dynamic Weight Principal Component Analysis Method and Hierarchical Monitoring Strategy for Process Fault Detection and Diagnosis被引量:105收藏 分享
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  
Multisubspace Orthogonal Canonical Correlation Analysis for Quality-Related Plant-Wide Process Monitoring被引量:69收藏 分享
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  
Rolling Bearing Initial Fault Detection Using Long Short-Term Memory Recurrent Network被引量:67收藏 分享
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  
Fault detection and diagnosis via standardized k nearest neighbor for multimode process被引量:59收藏 分享
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 分享
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 分享
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  
Convolutional Neural Network Based Feature Learning for Large-Scale Quality-Related Process Monitoring被引量:51收藏 分享
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  
Parallel quality-related dynamic principal component regression method for chemical process monitoring被引量:47收藏 分享
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  
Information concentrated variational auto-encoder for quality-related nonlinear process monitoring被引量:47收藏 分享
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  
Process monitoring via enhanced neighborhood preserving embedding被引量:40收藏 分享
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  
Hidden Markov Model-Based Fault Detection Approach for a Multimode Process被引量:39收藏 分享
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  
Key principal components with recursive local outlier factor for multimode chemical process monitoring被引量:39收藏 分享
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  
Novel Monitoring Strategy Combining the Advantages of the Multiple Modeling Strategy and Gaussian Mixture Model for Multimode Processes被引量:36收藏 分享
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  
Hidden Markov model-based approach for multimode process monitoring被引量:33收藏 分享
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  
Deep neural network based recursive feature learning for nonlinear dynamic process monitoring被引量:31收藏 分享
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 分享
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 knowledge-driven spatial-temporal graph neural network for quality-related fault detection被引量:27收藏 分享
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  
A Fault-Targeted Gated Recurrent Unit-Canonical Correlation Analysis Method for Incipient Fault Detection被引量:27收藏 分享
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  
Performance monitoring method based on balanced partial least square and Statistics Pattern Analysis被引量:25收藏 分享
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  
Dynamic learning on the manifold with constrained time information and its application for dynamic process monitoring被引量:25收藏 分享
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  
A Distributed Adaptive Monitoring Method for Performance Indicator in Large-Scale Dynamic Process被引量:21收藏 分享
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  
Time-space locality preserving coordination for multimode process monitoring被引量:19收藏 分享
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 分享
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  
Modeling and simulation of iron ore pellet drying and induration process with accurate bed void fraction calculation被引量:16收藏 分享
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  
Rolling Bearing Incipient Fault Detection via Optimized VMD Using Mode Mutual Information被引量:15收藏 分享
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  
Relevance variable selection variational auto-encoder network for quality-related nonlinear process monitoring被引量:14收藏 分享
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  
Nonlinear process monitoring based on load weighted denoising autoencoder被引量:14收藏 分享
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  
Hierarchical Latent Variable Extraction and Multisegment Probability Density Analysis Method for Incipient Fault Detection被引量:14收藏 分享
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  
A semi-supervised feature contrast convolutional neural network for processes fault diagnosis被引量:14收藏 分享
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  
Plant-Wide Process Fine-Scale Monitoring via Distributed Static Magnitude-Dynamic Difference被引量:13收藏 分享
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  
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