朱静珍 收藏

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( 任职于 信息科学与工程学院)

被引量:186H指数:6SCI-EXPANDED: 6 EI: 6

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6 条 记 录,以下是 1-6

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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  
质疑
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  
质疑
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  
质疑
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  
质疑
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  
质疑
Self-attention-based Multi-block regression fusion Neural Network for quality-related process monitoring被引量:13收藏 分享
作者:Sun, Jun Shi, Hongbo Zhu, Jiazhen Song, Bing Tao, Yang Tan, Shuai
机构:East China Univ Sci & Technol
来源:JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS  2022
关键词:Process monitoring   Quality-related feature   Self-attention Mechanism   Deep Neural Networks  
质疑
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