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An adaptive anti-noise gear fault diagnosis method based on attention residual prototypical network under limited samples

Applied soft computing, 2022-08, Vol.125, p.109120, Article 109120

2022

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An Open Set Diagnosis Method for Rolling Bearing Faults Based on Prototype and Reconstructed Integrated Network

IEEE transactions on instrumentation and measurement, 2023-01, Vol.72, p.1-1

2023

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Construction of the efficient attention prototypical net based on the time–frequency characterization of vibration signals under noisy small sample

Measurement : journal of the International Measurement Confederation, 2021-07, Vol.179, p.109412, Article 109412

2021

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Rational tuning towards B-sites (B = Mn, Co, Al) on CoB2O4 binary oxide for efficient selective catalytic oxidation of ammonia

Chemical engineering journal (Lausanne, Switzerland : 1996), 2023-02, Vol.453, p.139941, Article 139941

2023

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Efficient Cu-Co Dual-Site promotes selective catalytic oxidation of ammonia over cobalt based catalysts

Chemical engineering journal (Lausanne, Switzerland : 1996), 2024-04, Vol.485, p.149629, Article 149629

2024

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A real-time mechanical fault diagnosis approach based on lightweight architecture search considering industrial edge deployments

Engineering applications of artificial intelligence, 2023-08, Vol.123, p.106433, Article 106433

2023

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A complementarity model and algorithm for multi-commodity flow supply chain network equilibrium with random demands

Engineering optimization, 2022-10, Vol.54 (10), p.1668-1691

2022

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An interpretable anti-noise network for rolling bearing fault diagnosis based on FSWT

Measurement : journal of the International Measurement Confederation, 2022-02, Vol.190, p.110698, Article 110698

2022

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A zero-shot learning fault diagnosis method of rolling bearing based on extended semantic information under unknown conditions

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2023, Vol.45 (1), Article 35

2023

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Sparse representation of vibration signals of rolling bearing based on K-SVD combined with DCT

2021 40th Chinese Control Conference (CCC), 2021, p.2908-2913

2021

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Resistance spot welding quality identification with particle swarm optimization and a kernel extreme learning machine model

International journal of advanced manufacturing technology, 2017-07, Vol.91 (5-8), p.1879-1887

2017

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A fault feature extraction method for rotating shaft with multiple weak faults based on underdetermined blind source signal

Measurement science & technology, 2018-12, Vol.29 (12), p.125901

2018

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Local Electron Environment Regulation of Spinel CoMn2O4 Induced Effective Reactant Adsorption and Transformation of Lattice Oxygen for Toluene Oxidation

Environmental science & technology, 2023-12, Vol.57 (51), p.21888-21897

2023

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A fault mechanism-based model for bearing fault diagnosis under non-stationary conditions without target condition samples

Measurement : journal of the International Measurement Confederation, 2022-08, Vol.199, p.111499, Article 111499

2022

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A 5th-Order Constant Bandwidth Tunable Bandpass Filter With Two Cascaded Trisection Structures

IEEE transactions on circuits and systems. II, Express briefs, 2023-01, Vol.70 (1), p.126-130

2023

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Stages prediction of the remaining useful life of rolling bearing based on regularized extreme learning machine

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2021-11, Vol.235 (22), p.6599-6610

2021

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A fault diagnosis network based on domain adversarial learning and distribution matching for rotating machine vibration signal with noise and across-load conditions

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2023, Vol.45 (1), Article 51

2023

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Optimization of internal thread structure of force sensor considering fatigue performance

Sensor review, 2019-11, Vol.39 (6), p.835-843

2019

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Remaining useful life prediction of bearings with different failure types based on multi-feature and deep convolution transfer learning

Eksploatacja i niezawodność, 2021-01, Vol.23 (4), p.685-694

2021

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Performance analysis of wireless ad-hoc network based on bidirectional full-duplex and saturated state

IET communications, 2018-07, Vol.12 (12), p.1422-1430

2018

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Optimum Design of the Spoke Type Load Cell Based on Fatigue Performance

Journal of failure analysis and prevention, 2017-08, Vol.17 (4), p.717-723

2017

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Research on Fatigue Crack Growth Detection of M (T) Specimen Based on Image Processing Technology

Journal of failure analysis and prevention, 2018-08, Vol.18 (4), p.1010-1016

2018

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A Quadratically Convergent Algorithm for Generalized Linear Complementarity Problem on Supply Chain Equilibrium Model

2009 International Symposium on Intelligent Ubiquitous Computing and Education, 2009, p.230-233

Hongchun Sun

2009

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A Algorithm for the Nonlinear Complementarity Problem in Contact Mechanics Modeling

2009 Asia-Pacific Conference on Information Processing, 2009, Vol.2, p.274-277

Hongchun Sun

2009

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Error Bound for Generalized Linear Complementarity Problem Over an Affine Subspace and Its Applications

2009 International Joint Conference on Computational Sciences and Optimization, 2009, Vol.1, p.1027-1031

Hongchun Sun

2009

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An adaptive anti-noise gear fault diagnosis method based on attention residual prototypical network under limited samples

An Open Set Diagnosis Method for Rolling Bearing Faults Based on Prototype and Reconstructed Integrated Network

Construction of the efficient attention prototypical net based on the time–frequency characterization of vibration signals under noisy small sample

Rational tuning towards B-sites (B = Mn, Co, Al) on CoB2O4 binary oxide for efficient selective catalytic oxidation of ammonia

Efficient Cu-Co Dual-Site promotes selective catalytic oxidation of ammonia over cobalt based catalysts

A real-time mechanical fault diagnosis approach based on lightweight architecture search considering industrial edge deployments

A complementarity model and algorithm for multi-commodity flow supply chain network equilibrium with random demands

An interpretable anti-noise network for rolling bearing fault diagnosis based on FSWT

A zero-shot learning fault diagnosis method of rolling bearing based on extended semantic information under unknown conditions

Sparse representation of vibration signals of rolling bearing based on K-SVD combined with DCT

Resistance spot welding quality identification with particle swarm optimization and a kernel extreme learning machine model

A fault feature extraction method for rotating shaft with multiple weak faults based on underdetermined blind source signal

Local Electron Environment Regulation of Spinel CoMn2O4 Induced Effective Reactant Adsorption and Transformation of Lattice Oxygen for Toluene Oxidation

A fault mechanism-based model for bearing fault diagnosis under non-stationary conditions without target condition samples

A 5th-Order Constant Bandwidth Tunable Bandpass Filter With Two Cascaded Trisection Structures

Stages prediction of the remaining useful life of rolling bearing based on regularized extreme learning machine

A fault diagnosis network based on domain adversarial learning and distribution matching for rotating machine vibration signal with noise and across-load conditions

Optimization of internal thread structure of force sensor considering fatigue performance

Remaining useful life prediction of bearings with different failure types based on multi-feature and deep convolution transfer learning

Performance analysis of wireless ad-hoc network based on bidirectional full-duplex and saturated state

Optimum Design of the Spoke Type Load Cell Based on Fatigue Performance

Research on Fatigue Crack Growth Detection of M (T) Specimen Based on Image Processing Technology

A Quadratically Convergent Algorithm for Generalized Linear Complementarity Problem on Supply Chain Equilibrium Model

A Algorithm for the Nonlinear Complementarity Problem in Contact Mechanics Modeling

Error Bound for Generalized Linear Complementarity Problem Over an Affine Subspace and Its Applications

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