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

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: always suffer from inappropriate division of fault information in order to satisfy various rigorous decompositionprinciples or statistical assumptions, such as the smooth envelope principle of ensemble empirical mode decomposition

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

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Mechanism of methanol decomposition on the Pd/WC(0001) surface unveiled by first-principles calculations

Jinhua Zhang, Yuanbin She

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 6,   Pages 1052-1064 doi: 10.1007/s11705-019-1908-y

Abstract: In this study, the decomposition of methanol into the CO and H species on the Pd/tungsten carbide (WC)(0001) surface is systematically investigated using periodic density functional theory (DFT) calculationsThe DFT calculations indicate that the rupture of the initial C–H bond promotes the decomposition ofThus, the most probable methanol decomposition pathway on the Pd/WC(0001) surface is CH OH → CH OH →study demonstrates that the synergistic effect of WC (as carrier) and Pd (as catalyst) alters the CH OH decomposition

Keywords： density functional theory     methanol     direct methanol fuel cells     WC(0001)-supported Pd monolayer     decomposition    

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Developing a new model for simultaneous scheduling of two grand projects based on game theory and solvingthe model with Benders decomposition

Loghman PIRI, Vahidreza GHEZAVATI, Ashkan HAFEZALKOTOB

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 117-134 doi: 10.1007/s42524-020-0115-3

Abstract: important issues among various aspects; thus, our aim is to fulfill the requirements by using the game theoryIn this study, a mixed-integer programming model consisting of game theory and project scheduling isThe proposed model is solved using the exact Benders decomposition method, which is coded in GAMS software

Keywords： project scheduling     resource leveling between projects     constrained resources     game theory     Benders decomposition    

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Asystematic review of structured sparse learning Review

Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 445-463 doi: 10.1631/FITEE.1601489

Abstract: from diverse scientific research fields and industrial development have led to increased interest in sparseStructured sparse learning encodes the structural information of the variables and has been quite successfulThese regularizations have greatly improved the efficacy of sparse learning algorithms through the useIn this article, we present a systematic review of structured sparse learning including ideas, formulationsimplementations, and compare the computational complexity of typical optimization methods to solve structured sparse

Keywords： Sparse learning     Structured sparse learning     Structured regularization    

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Sparse fast Clifford Fourier transform Article

Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1131-1141 doi: 10.1631/FITEE.1500452

Abstract: The sparse fast Fourier transform (sFFT) theory deals with the big data problem by using input data selectivelyThis has inspired us to create a new algorithm called sparse fast CFT (SFCFT), which can greatly improve

Keywords： Sparse fast Fourier transform (sFFT)     Clifford Fourier transform (CFT)     Sparse fast Clifford Fourier    

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Non-convex sparse optimization-based impact force identification with limited vibration measurements

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0762-2

Abstract: mn> regularization method often struggles to generate sparseMJX-TeXAtom-ORD">ℓ1 sparseTo alleviate such limitations, a novel non-convex sparse regularization method that uses the non-convexdirection method of multipliers (ADMM) is introduced to tackle the non-convex model by facilitating the decompositionrealize simultaneous impact localization and time history reconstruction with an under-determined, sparse

Keywords： impact force identification     inverse problem     sparse regularization     under-determined condition     alternating    

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Decomposition analysis applied to energy and emissions: A literature review

Frontiers of Engineering Management   Pages 625-639 doi: 10.1007/s42524-023-0270-4

Abstract: Decomposition analysis has been widely used to assess the determinants of energy and CO2 emissionsBoth the methodology and application of decomposition analysis have been largely improved in the pastAfter more than 50 years’ developments, decomposition studies have become increasingly sophisticatedemerging trends and features for the decomposition analysis literature as a whole.The findings are expected to direct future research in decomposition analysis.

Keywords： index decomposition analysis     structural decomposition analysis     production decomposition analysis     energy    

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Uncertainty propagation analysis by an extended sparse grid technique

X. Y. JIA, C. JIANG, C. M. FU, B. Y. NI, C. S. WANG, M. H. PING

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 33-46 doi: 10.1007/s11465-018-0514-x

Abstract: In this paper, an uncertainty propagation analysis method is developed based on an extended sparse gridSubsequently, within the sparse grid numerical integration framework, the statistical moments of the

Keywords： uncertainty propagation analysis     extended sparse grid     maximum entropy principle     extended Gauss integration    

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Catalytic decomposition of low level ozone with gold nanoparticles supported on activated carbon

Pengyi ZHANG , Bo ZHANG , Rui SHI ,

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 3,   Pages 281-288 doi: 10.1007/s11783-009-0032-5

Abstract: sol immobilization method and were used to investigate their catalytic activity for low-level ozone decompositionX-ray photoelectron spectroscopy (XPS) were used to characterize the catalysts before and after ozone decompositionthose prepared with traditional conduction heating, exhibiting higher catalytic activity for ozone decompositiongold precursor solution significantly influenced the catalytic activity of supported gold for ozone decompositionAfter being used for ozone decomposition, the surface carbon of the catalyst was partly oxidized and

Keywords： ozone decomposition     activated carbon     gold nanoparticles     catalysis     sodium citrate     microwave    

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Laplacian sparse dictionary learning for image classification based on sparse representation Article

Fang LI, Jia SHENG, San-yuan ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1795-1805 doi: 10.1631/FITEE.1600039

Abstract: Sparse representation is a mathematical model for data representation that has proved to be a powerfulAs one of the building blocks of the sparse representation method, dictionary learning plays an importantWe incorporate the Laplacian weighted graph in the sparse representation model and impose the l1-normAn LSD is a sparse overcomplete dictionary that can preserve the intrinsic structure of the data andResults show the advantages of the proposed LSD algorithm over state-of-the-art sparse representation

Keywords： Sparse representation     Laplacian regularizer     Dictionary learning     Double sparsity     Manifold    

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Product decomposition strategy for optimization of supply chain planning

Braulio BRUNAUD, Maria Paz OCHOA, Ignacio E. GROSSMANN

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 466-478 doi: 10.15302/J-FEM-2018059

Abstract:

Optimization of large-scale supply chain planning models requires the application of decompositionTwo major options are to use either spatial or temporal Lagrangean decomposition.In this paper, to further reduce the computational expense a novel decomposition scheme by products isThe decomposition is based on a reformulation of knapsack constraints in the problem.The new approach allows for simultaneous decomposition by products and by time periods, enabling the

Keywords： supply chain planning     Lagrangean decomposition     mixed-integer programming    

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Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1082-1094 doi: 10.1007/s11709-019-0537-3

Abstract: An out-put only modal parameter identification method based on variational mode decomposition (VMD) isThe results of the present method are compared with those of the empirical mode decomposition-based method

Keywords： modal parameter identification     variational mode decomposition     civil structure     nonlinear system     closely    

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Dielectric barrier micro-plasma reactor with segmented outer electrode for decomposition of pure CO

Baowei Wang, Xiaoxi Wang, Bo Zhang

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 3,   Pages 687-697 doi: 10.1007/s11705-020-1974-1

Abstract: coaxial cylinder dielectric barrier discharge micro-plasma reactors were designed for the non-catalytic decompositionresults indicated that the introduction of segmented outer electrodes can significantly promote the decomposition

Keywords： CO2 decomposition     dielectric barrier discharge     segmented outer electrodes     electrical analysis    

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Thermal decomposition mechanism of ammonium sulfate catalyzed by ferric oxide

Xingfu SONG, Jingcai ZHAO, Yunzhao LI, Ze SUN, Jianguo YU

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 2,   Pages 210-217 doi: 10.1007/s11705-013-1320-y

Abstract: The decomposition mechanism of ammonium sulfate catalyzed by ferric oxide was investigated in this paperThe decomposition kinetics parameters were determined via a global optimization of the Kissinger iterativeThe obtained results indicate that the decomposition process of ammonium sulfate catalyzed by ferricThe decomposition mechanisms at the first and the fourth stage both belong to Mample power theorem, the

Keywords： ammonium sulfate     decomposition kinetics     ferric oxide     thermogravimetric analysis    

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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 difference in synthesizing DMO and DEO on the same catalyst was attributed to the decomposition performancesof methyl nitrite (MN) and ethyl nitrite (EN), as density functional theory (DFT) calculation showed

Keywords： palladium     CO coupling     dialkyl oxalate     alkyl nitrite     decomposition    

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Title Author Date Type Operation

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

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

Journal Article

Mechanism of methanol decomposition on the Pd/WC(0001) surface unveiled by first-principles calculations

Jinhua Zhang, Yuanbin She

Journal Article

Developing a new model for simultaneous scheduling of two grand projects based on game theory and solvingthe model with Benders decomposition

Loghman PIRI, Vahidreza GHEZAVATI, Ashkan HAFEZALKOTOB

Journal Article

Asystematic review of structured sparse learning

Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU

Journal Article

Sparse fast Clifford Fourier transform

Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO

Journal Article

Non-convex sparse optimization-based impact force identification with limited vibration measurements

Journal Article

Decomposition analysis applied to energy and emissions: A literature review

Journal Article

Uncertainty propagation analysis by an extended sparse grid technique

X. Y. JIA, C. JIANG, C. M. FU, B. Y. NI, C. S. WANG, M. H. PING

Journal Article

Catalytic decomposition of low level ozone with gold nanoparticles supported on activated carbon

Pengyi ZHANG , Bo ZHANG , Rui SHI ,

Journal Article

Laplacian sparse dictionary learning for image classification based on sparse representation

Fang LI, Jia SHENG, San-yuan ZHANG

Journal Article

Product decomposition strategy for optimization of supply chain planning

Braulio BRUNAUD, Maria Paz OCHOA, Ignacio E. GROSSMANN

Journal Article

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Journal Article

Dielectric barrier micro-plasma reactor with segmented outer electrode for decomposition of pure CO

Baowei Wang, Xiaoxi Wang, Bo Zhang

Journal Article

Thermal decomposition mechanism of ammonium sulfate catalyzed by ferric oxide

Xingfu SONG, Jingcai ZHAO, Yunzhao LI, Ze SUN, Jianguo YU

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