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Finite element model updating of a large structure using multi-setup stochastic subspace identification

Reza KHADEMI-ZAHEDI, Pouyan ALIMOURI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 965-980 doi: 10.1007/s11709-019-0530-x

Abstract: The natural frequencies of the solar power plant structure are estimated by multi-setup stochastic subspace

Keywords： operational modal analysis     solar power plant structure     multi-setup stochastic subspace     bees optimization    

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Multiple fault separation and detection by joint subspace learning for the health assessment of wind

Zhaohui DU, Xuefeng CHEN, Han ZHANG, Yanyang ZI, Ruqiang YAN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 333-347 doi: 10.1007/s11465-017-0435-0

Abstract: Thus, this paper presents a joint subspace learning-based multiple fault detection (JSL-MFD) techniqueIt can also sparsely concentrate the feature information into a few dominant subspace coefficients.

Keywords： joint subspace learning     multiple fault diagnosis     sparse decomposition theory     coupling feature separation    

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An improved subspace weighting method using random matrix theory Research Articles

Yu-meng Gao, Jiang-hui Li, Ye-chao Bai, Qiong Wang, Xing-gan Zhang,ychbai@nju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1302-1307 doi: 10.1631/FITEE.1900463

Abstract: The weighting subspace fitting (WSF) algorithm performs better than the multi-signal classification (

Keywords： Direction of arrival     Signal subspace     Random matrix theory    

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Improving the Performance of OFDM Channel Estimation through Subspace Projecting and Tracking

Dong Liang,Cao Xiuying,Bi Guangguo

Strategic Study of CAE 2006, Volume 8, Issue 11,   Pages 86-93

Abstract: observation of the true channel frequency response, so the noise component can be compressed through subspaceIn this paper, the substance of the improvement of LS channel estimation is analyzed when subspace projectingis enforced, and the general framework to perform subspace projecting in the context of OFDM channelWhen signal subspace varies with time, subspace tracking should be performed to maintain a good estimationof signal subspace.

Keywords： OFDM     subspace     projecting     tracking     channel estimation    

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Subspace-based identification of discrete time-delay system Article

Qiang LIU,Jia-chen MA

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6,   Pages 566-575 doi: 10.1631/FITEE.1500358

Abstract: Then a conventional subspace identification method is used to estimate augmented system matrices and

Keywords： Identification problems     Time-delay systems     Subspace identification method     Alternate convex search    

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A two-stage parametric subspace model for efficient contrast-preserving decolorization Article

Hong-yang LU, Qie-gen LIU, Yu-hao WANG, Xiao-hua DENG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1874-1882 doi: 10.1631/FITEE.1600017

Abstract: We show that the first subspace in the two-order model is the most important and the second one can bethe first stage of our model, the gradient correlation similarity (Gcs) measure is used on the first subspace, Gcs is applied again to select the optimal result from the immediate grayed image plus the second subspace-induced

Keywords： Color-to-gray conversion     Subspace modeling     Two-order polynomial model     Gradient correlation similarity    

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Performance monitoring of non-gaussian chemical processes with modes-switching using globality-locality preserving projection

Xin Peng, Yang Tang, Wenli Du, Feng Qian

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 429-439 doi: 10.1007/s11705-017-1675-6

Abstract: In this paper, we propose a novel performance monitoring and fault detection method, which is based on modified structure analysis and globality and locality preserving (MSAGL) projection, for non-Gaussian processes with multiple operation conditions. By using locality preserving projection to analyze the embedding geometrical manifold and extracting the non-Gaussian features by independent component analysis, MSAGL preserves both the global and local structures of the data simultaneously. Furthermore, the tradeoff parameter of MSAGL is tuned adaptively in order to find the projection direction optimal for revealing the hidden structural information. The validity and effectiveness of this approach are illustrated by applying the proposed technique to the Tennessee Eastman process simulation under multiple operation conditions. The results demonstrate the advantages of the proposed method over conventional eigendecomposition-based monitoring methods.

Keywords： non-Gaussian processes     subspace projection     independent component analysis     locality preserving projection    

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Subspace transform induced robust similarity measure for facial images

Jian Zhang, Heng Zhang, Li-ling Bo, Hong-ran Li, Shuai Xu, Dong-qing Yuan,zhangjian@jou.edu.cn,zhangheng@jou.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1267-1412 doi: 10.1631/FITEE.1900552

Abstract: Inspired by the properties of subspace, we develop an effective 2D technique, named transformation similarity
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On detecting primary user emulation attack using channel impulse response in the cognitive radio network Article

Qiao-mu JIANG, Hui-fang CHEN, Lei XIE, Kuang WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1665-1676 doi: 10.1631/FITEE.1700203

Abstract: In addition, a modified subspace-based blind channel estimation method is presented to estimate the CIR

Keywords： Cognitive radio network     Primary user emulation attack     Subspace-based blind channel estimation     Channel    

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Modeling of a dynamic dual-input dual-output fast steeringmirror system Article

Hong SONG, Jia-heng ZHANG, Ping YANG, Hao-cai HUANG, Shu-yue ZHAN, Teng-jun LIU, Yi-lu GUO, Hang-zhou WANG, Hui HUANG, Quan-quan MU, Mei-fen FANG, Ming-yuan YANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1488-1498 doi: 10.1631/FITEE.1601221

Abstract: Unknown parameters in the state-space model are identified by the subspace identification algorithm,

Keywords： Fast steering mirror     Dynamic system     Input-output coupling     Physical modeling     Subspace identification    

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Title Author Date Type Operation

Finite element model updating of a large structure using multi-setup stochastic subspace identification

Reza KHADEMI-ZAHEDI, Pouyan ALIMOURI

Journal Article

Multiple fault separation and detection by joint subspace learning for the health assessment of wind

Zhaohui DU, Xuefeng CHEN, Han ZHANG, Yanyang ZI, Ruqiang YAN

Journal Article

An improved subspace weighting method using random matrix theory

Yu-meng Gao, Jiang-hui Li, Ye-chao Bai, Qiong Wang, Xing-gan Zhang,ychbai@nju.edu.cn

Journal Article

Improving the Performance of OFDM Channel Estimation through Subspace Projecting and Tracking

Dong Liang,Cao Xiuying,Bi Guangguo

Journal Article

Subspace-based identification of discrete time-delay system

Qiang LIU,Jia-chen MA

Journal Article

A two-stage parametric subspace model for efficient contrast-preserving decolorization

Hong-yang LU, Qie-gen LIU, Yu-hao WANG, Xiao-hua DENG

Journal Article

Performance monitoring of non-gaussian chemical processes with modes-switching using globality-locality preserving projection

Xin Peng, Yang Tang, Wenli Du, Feng Qian

Journal Article

Subspace transform induced robust similarity measure for facial images

Jian Zhang, Heng Zhang, Li-ling Bo, Hong-ran Li, Shuai Xu, Dong-qing Yuan,zhangjian@jou.edu.cn,zhangheng@jou.edu.cn

Journal Article

On detecting primary user emulation attack using channel impulse response in the cognitive radio network

Qiao-mu JIANG, Hui-fang CHEN, Lei XIE, Kuang WANG

Journal Article

Modeling of a dynamic dual-input dual-output fast steeringmirror system

Hong SONG, Jia-heng ZHANG, Ping YANG, Hao-cai HUANG, Shu-yue ZHAN, Teng-jun LIU, Yi-lu GUO, Hang-zhou WANG, Hui HUANG, Quan-quan MU, Mei-fen FANG, Ming-yuan YANG

Journal Article