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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: It can also sparsely concentrate the feature information into a few dominant subspace coefficients.The superiority of JSL-MFD in multiple fault separation and detection is comprehensively investigated

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

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Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 829-839 doi: 10.1007/s11465-021-0652-4

Abstract: this problem, an imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph featureeffectively achieve rotating machinery fault diagnosis towards imbalanced training dataset through graph feature

Keywords： imbalanced fault diagnosis     graph feature learning     rotating machinery     autoencoder    

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Microdamage study of granite under thermomechanical coupling based on the particle flow code

Frontiers of Structural and Civil Engineering   Pages 1413-1427 doi: 10.1007/s11709-023-0953-2

Abstract: The thermomechanical coupling of rocks refers to the interaction between the mechanical and thermodynamicThe study of this coupling interaction is essential for understanding the mechanical and thermodynamicA series of numerical thermomechanical coupling tests are then conducted to calibrate the micro-parameters

Keywords： thermomechanical coupling effect     granite     improved linear parallel bond model     thermal property     particle    

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Simulation of steel beam under ceiling jet based on a wind–fire–structure coupling model

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 78-98 doi: 10.1007/s11709-022-0936-8

Abstract: Instead of applying the concept of adiabatic surface temperature (AST) to achieve fluid–structure coupling

Keywords： CFD–FEM coupling     steel beam     wind     ceiling jet     numerical heat transfer    

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Dynamic simulation of gas turbines via feature similarity-based transfer learning

Dengji ZHOU, Jiarui HAO, Dawen HUANG, Xingyun JIA, Huisheng ZHANG

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 817-835 doi: 10.1007/s11708-020-0709-9

Abstract: dynamic operating data set with steep slope signals is created based on physics equations and then a featuresimilarity-based learning model with an encoder and a decoder is built and trained to achieve feature

Keywords： gas turbine     dynamic simulation     data-driven     transfer learning     feature similarity    

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Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0737-8

Abstract: This study proposes a method to determine the build orientation of multi-feature mechanical parts (MFMPsThe weights of the feature groups and considered objectives are achieved by a fuzzy analytical hierarchyThe measured average sampling surface roughness of the most crucial feature of the bracket in the original

Keywords： selective laser melting (SLM)     build orientation determination     multi-feature mechanical part (MFMP)    

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Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 38-42

Abstract: It can extract nonlinear feature components of samples.However, feature extraction for one sample requires that kernel functions between training samples andSo, the size of training sample set affects the efficiency of feature extraction.It is supposed that in feature space the eigenvectors may be linearly expressed by a part of trainingIKPCA extracts feature components of one sample efficiently, only based on kernel functions between nodes

Keywords： KPCA(Kernel PCA)     IKPCA(Improved KPCA)     feature extraction     feature space    

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composition differences between processed protein from different animal species by self-organizing feature

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 2,   Pages 171-179 doi: 10.15302/J-FASE-2016095

Abstract: In this study, self-organizing feature maps (SOFM) were used to visualize amino acid composition of fish

Keywords： self-organizing feature maps     visualization     processed animal proteins (PAPs)     amino acid    

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Phase separation in cGAS-STING signaling

Frontiers of Medicine   Pages 855-866 doi: 10.1007/s11684-023-1026-6

Abstract: Biomolecular condensates formed by phase separation are widespread and play critical roles in many physiologicalInterestingly, exciting recent studies have reported that biomolecular phase separation exists and playsHere, we summarize recent advances in the phase separation of cGAS-STING signaling and the development

Keywords： biomolecular condensates     phase separation     cGAS-STING pathway     cGAS     STING     cGAMP     interferon    

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catalysts derived from zeolitic imidazolate framework@MXene composites for efficient oxidative self-coupling

Frontiers of Chemical Science and Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11705-023-2378-9

Abstract: The catalytic efficiency of the catalyst is tested for the self-coupling of 4-methoxybenzylamine to produce

Keywords： MXene     sacrificial template     oxidative self-coupling     Co nanoparticles     imine    

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Effect of alkyl nitrite decomposition on catalytic performance of CO coupling reaction over supported

Zhenhua LI, Weihan WANG, Dongxue YIN, Jing LV, Xinbin MA

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 4,   Pages 410-414 doi: 10.1007/s11705-012-1213-5

Abstract: The syntheses of dimethyl oxalate (DMO) and diethyl oxalate (DEO) by CO coupling reaction in gaseous

Keywords： palladium     CO coupling     dialkyl oxalate     alkyl nitrite     decomposition    

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Thermodynamic and economic analyses of a coal and biomass indirect coupling power generation system

Buqing YE, Rui ZHANG, Jin CAO, Bingquan SHI, Xun ZHOU, Dong LIU

Frontiers in Energy 2020, Volume 14, Issue 3,   Pages 590-606 doi: 10.1007/s11708-020-0809-6

Abstract: The coal and biomass coupling power generation technology is considered as a promising technology forIn this paper, a novel coal and biomass indirect coupling system is proposed based on the technologyFor the sake of comparison, a coal and biomass direct coupling system is also introduced based on theThe process of the direct and the indirect coupling system is simulated.worse, but the economic performance is better than that of the direct coupling system.

Keywords： biomass     indirect coupling system     process simulation     thermodynamic analysis     economic analysis    

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Enhancing the aromatic selectivity of cyclohexane aromatization by CO2 coupling

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 11,   Pages 1801-1808 doi: 10.1007/s11705-023-2325-9

Abstract: Improving the aromatic selectivity in the alkane aromatization process is of great importance for its practical utilization but challenge to make because the high H/C ratio of alkanes would lead to a serious hydrogen transfer process and a large amount of light alkanes. Herein, CO2 is introduced into the cyclohexane conversion process on the HZSM-5 zeolite, which can improve the aromatic selectivity. By optimizing the reaction conditions, an improved aromatic (benzene, toluene, xylene, and C9+) selectivity of 48.2% can be obtained at the conditions of 2.7 MPa (CO2), 450 °C, and 1.7 h−1, which is better than that without CO2 (aromatic selectivity = 43.2%). In situ transmission Fourier transform infrared spectroscopy spectra illustrate that many oxygenated chemical intermediates (e.g., carboxylic acid, anhydride, unsaturated aldehydes/ketones or ketene) would be formed during the cyclohexane conversion process in the presence of CO2. 13C isotope labeling experimental results demonstrate that CO2 can enter into the aromatics through the formation of oxygenated chemical intermediates and thereby improve the aromatic selectivity. This study may open a green, economic, and promising way to improve the aromatic selectivity for alkane aromatization process.

Keywords： aromatics     carbon dioxide     aromatization     coupling reaction     ZSM-5 zeolite    

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Mild and highly regioselective synthesis of biaryl acids via Rh(I)-catalyzed cross-dehydrogenative coupling

Yun Liu, Youquan Zhu, Chaojun Li

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 1,   Pages 3-8 doi: 10.1007/s11705-017-1693-4

Abstract: A mild and efficient synthesis for the biaryl acids via rhodium-catalyzed cross-dehydrogenative coupling

Keywords： biaryl acids     cross-dehydrogenative coupling     rhodium-catalyzed    

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Selective capture and separation of xenon and krypton using metal organic frameworks: a review

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 12,   Pages 1895-1912 doi: 10.1007/s11705-023-2355-3

Abstract: Metal organic frameworks as hotspot porous materials for gases uptake and separation are considered tocomprehensively summarized recent researches on metal organic frameworks for selective capture and separationsites, ions (anions and cations), and polar functional groups for enhancing the xenon adsorption and separationMeanwhile, a comparison of each strategy and the mechanisms of xenon/krypton separation were pointedThe separation of krypton from gases mixtures by dual-bed systems was further discussed.

Keywords： metal organic frameworks     xenon     krypton     selective separation     used nuclear fuel    

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Title Author Date Type Operation

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

Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Journal Article

Microdamage study of granite under thermomechanical coupling based on the particle flow code

Journal Article

Simulation of steel beam under ceiling jet based on a wind–fire–structure coupling model

Journal Article

Dynamic simulation of gas turbines via feature similarity-based transfer learning

Dengji ZHOU, Jiarui HAO, Dawen HUANG, Xingyun JIA, Huisheng ZHANG

Journal Article

Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective

Journal Article

Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Journal Article

composition differences between processed protein from different animal species by self-organizing feature

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

Journal Article

Phase separation in cGAS-STING signaling

Journal Article

catalysts derived from zeolitic imidazolate framework@MXene composites for efficient oxidative self-coupling

Journal Article

Effect of alkyl nitrite decomposition on catalytic performance of CO coupling reaction over supported

Zhenhua LI, Weihan WANG, Dongxue YIN, Jing LV, Xinbin MA

Journal Article

Thermodynamic and economic analyses of a coal and biomass indirect coupling power generation system

Buqing YE, Rui ZHANG, Jin CAO, Bingquan SHI, Xun ZHOU, Dong LIU

Journal Article

Enhancing the aromatic selectivity of cyclohexane aromatization by CO2 coupling

Journal Article

Mild and highly regioselective synthesis of biaryl acids via Rh(I)-catalyzed cross-dehydrogenative coupling

Yun Liu, Youquan Zhu, Chaojun Li

Journal Article

Selective capture and separation of xenon and krypton using metal organic frameworks: a review

Journal Article