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兰州理工大学 [8]

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	Quality-relevant and process-relevant fault monitoring based on GNPER and the fault quantification index for industrial processes 期刊论文 CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2022 作者: Mou, Miao; Zhao, Xiaoqiang 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/07/19 fault monitoring fault quantification GNPER quality relevant Tennessee Eastman
	Fault Diagnosis Based on RseNet-LSTM for Industrial Process 会议论文 Chongqing, China, March 12-14, 2021 作者: Yao, Peifu; Yang SJ(阳少杰); Li P(里鹏) 收藏 \| 浏览/下载：4/0 \| 提交时间：2021/05/10 Fault Diagnosis Residual Network Long Short-Term Memory Tennessee Eastman Process
	Fault detection based on robust characteristic dimensionality reduction 期刊论文 CONTROL ENGINEERING PRACTICE, 2019, 卷号: 84, 页码: 125-138 作者: Guo, Tianxu; Zhou, Donghua; Zhang, Junfeng; Chen, Maoyin; Tai, Xiuhua 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/11 Fault detection Time-constrained sparse representation (TCSR) Robust characteristic dimensionality reduction (RCDR) Tennessee eastman process (TEP) Electric multiple unit (EMU) braking system
	A novel fault diagnosis method based on optimal relevance vector machine 期刊论文 Neurocomputing, 2017, 卷号: 267, 页码: 651-663 作者: He, Shiming; Xiao, Long; Wang, Yalin; Liu, Xinggao*; Yang, Chunhua 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/03 Fault diagnosis Relevance vector machine Particle swam optimization Differential evolution Tennessee Eastman process Ethylene cracking furnace process
	Laplacian Eigenmaps-Support Vector Domain Description Method for Complex Electromechanical System 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2017, 卷号: 37, 页码: 469-475 作者: Yasenjiang, Jiarula; Gao, Jianmin; Gao, Zhiyong; Jiang, Hongquan; Chen, Zisheng 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/11/26 Anomaly detection methods Complex electromechanical systems Distribution characteristics High-dimensional feature space Nonlinear feature extraction Support vector domain description Tennessee Eastman Weighted undirected graph
	Status monitoring of chemical system based on improved LFDA 期刊论文 Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2016, 卷号: 22, 页码: 1097-1103 作者: Gao, Zhiyong; Chen, Zisheng; Gao, Jianmin; Wang, Rongxi 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/11/26 Between class scatter Fisher discrimination Local linear Manifold learning Minimum euclidean distances Nonlinear discriminant analysis Status monitoring Tennessee Eastman process
	Output-relevant fault detection and identification of chemical process based on hybrid kernel T-PLS 期刊论文 Canadian Journal of Chemical Engineering, 2014, 卷号: 92, 期号: 10, 页码: 1822-1828 作者: Zhao, Xiaoqiang; Xue, Yongfei 收藏 \| 浏览/下载：100/0 \| 提交时间：2020/11/14 Chemical detection Failure analysis Chemical process Fault detection and identification Generalized RBC High-dimensional feature space Hybrid kernel T-PLS Projection to latent structures Tennessee Eastman process Uncorrelated subspaces
	Fault detect algorithm of chemical process based on kernel T-PLS 期刊论文 Huagong Xuebao/CIESC Journal, 2013, 卷号: 64, 期号: 12, 页码: 4608-4614 作者: Zhao, Xiaoqiang; Xue, Yongfei 收藏 \| 浏览/下载：7/0 \| 提交时间：2020/11/14 Accident prevention Chemical engineering Computer simulation Synthesis (chemical) Chemical process Fault detect High dimension feature space KT-PLS Projection to latent structures Strong nonlinear systems Tennessee Eastman process Uncorrelated subspaces
	An improved KPCA algorithm of chemical process fault diagnosis based on RVM 会议论文 Xi'an, China, July 26, 2013 - July 28, 2013 作者: Zhao, Xiaoqiang; Xue, Yongfei; Yang, Wu 收藏 \| 浏览/下载：2/0 \| 提交时间：2020/11/15 Failure analysis Principal component analysis Process control Support vector machines Vector spaces Vectors Combined algorithms Fault identifications Kernel principal component analyses (KPCA) KPCA-RVM KPCA-SVM Relevance Vector Machine TE process Tennessee Eastman
	An improved FVS-KPCA method of fault detection on TE process 会议论文 Guilin, Guangxi, China, July 31, 2012 - August 2, 2012 作者: Zhao, Xiaoqiang; Wang, Xinming; Yang, Wu 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/11/15 Chemical detection Chemical industry Feature extraction Manufacture Principal component analysis Complex nonlinear system Detection methods Feature vector selection Kernel matrices Kernel principal component analyses (KPCA) Sample sets Tennessee Eastman Tennessee EastmanPprocess

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