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The Safe and Quick Long-Distance Transmission MethodBased on BP Neural Net for Engineering Graphics Data

Qin Wei,Qin Shuyu

Strategic Study of CAE 2007, Volume 9, Issue 1,   Pages 49-52

Abstract: compression and data encryption are put in practice at the same time by using BP algorithm of artificial neural

Keywords： neural net     BP algorithm     correlation     encrypt     speed transmission     graphics data    

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Research and industrialization of near-net rolling technology used in shaft parts

Zhenghuan HU, Baoyu WANG, Zhenhua ZHENG

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 1,   Pages 17-24 doi: 10.1007/s11465-018-0480-3

Abstract:

Shaft part rolling is an efficient and green near-net shaping technology offering many advantages,

Keywords： cross wedge rolling     skew rolling     near-net rolling     shaft part    

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Effects of hydraulic retention time on net present value and performance in a membrane bioreactor treating

Dawei Yu, Jianxing Wang, Libin Zheng, Qianwen Sui, Hui Zhong, Meixue Cheng, Yuansong Wei

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 6, doi: 10.1007/s11783-020-1280-7

Abstract: the membrane bioreactor, both full-scale (500 m3/d) and pilot (1.0 m3/d), were used to calculate the netTank construction cost was decisive in determining the net present value contributed 62.1% to the capital

Keywords： Antibiotic production wastewater     Net present value     Membrane bioreactor     Hydraulic retention time     Pollutant    

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Special issue: Near-net shaping technology

Dequn LI, Dongming GUO, Qingxue HUANG, Yanchun LOU

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 1,   Pages 1-2 doi: 10.1007/s11465-018-0497-7

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Modeling and Analysis of Elevator System Based on Timed-Coloured Petri Net

Zong Qun,Dou Liqian,Cheng Yiju

Strategic Study of CAE 2004, Volume 6, Issue 12,   Pages 51-55

Abstract:

In this paper, an elevator running model based on timed-coloured Petri net is proposed.

Keywords： Petri net     timed-coloured Petri net     the model of elevator     the running of elevator    

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Determining casting defects in near-net shape casting aluminum parts by computed tomography

Jiehua LI, Bernd OBERDORFER, Daniel HABE, Peter SCHUMACHER

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 1,   Pages 48-52 doi: 10.1007/s11465-018-0493-y

Abstract:

Three types of near-net shape casting aluminum parts were investigated by computed tomography to determinepart, and this absence of defects indicates that semi-solid casting could produce high-quality near-netinvestigation demonstrated that computed tomography is an efficient method to determine casting defects in near-net

Keywords： near-net shape casting     aluminum parts     casting defects     low pressure die casting     die casting     semi-solid    

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Influence of damages on static behavior of single-layer cable net supported glass curtain wall: full-scale

Gang SHI, Yongjiu SHI, Yuanqing WANG, Yongzhi ZUO, Xiaohao SHI, Zaoyang GUO,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 3,   Pages 383-395 doi: 10.1007/s11709-010-0074-6

Abstract: The single-layer cable net supported glass curtain wall has been applied in many building structuresTo study the influence of such damages on the static behavior of the single-layer cable net supportedThe stiffness contribution of glass panels to the single-layer cable net supported glass curtain wall

Keywords： single-layer plane cable net supported glass curtain wall     damage     cable prestress loss     cable anchorage    

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The research of grey clustering decision of assembly sequence based on petri net

Mo Qian,Luo Yi

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 65-68

Abstract: paper establishes assembly model according to the intuitionistic graphics mode characteristics of petri net, and gets feasible assembly sequence according to the principle of petri net.this method can evaluate correctly the feasible assembly sequences according to the principle of petri net

Keywords： assembly sequence     petri net     grey clustering decision method    

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Getting to Net-Zero Emissions

Chris Greig

Engineering 2020, Volume 6, Issue 12,   Pages 1341-1342 doi: 10.1016/j.eng.2020.09.005

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Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: The neural networks can be used to construct fully decoupled approaches in nonlinear multiscale methodsThis article intends to model the multiscale constitution using feedforward neural network (FNN) andrecurrent neural network (RNN), and appropriate set of loading paths are selected to effectively predict

Keywords： multiscale method     constitutive model     feedforward neural network     recurrent neural network    

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A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: Convolutional neural network (CNN) has achieved remarkable applications in fault diagnosis.

Keywords： deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

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Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: this paper presents a method for automating concrete damage classification using a deep convolutional neuralThe convolutional neural network was designed after an experimental investigation of a wide number of

Keywords： concrete structure     infrastructures     visual inspection     convolutional neural network     artificial intelligence    

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Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 214-223 doi: 10.1007/s11709-021-0800-2

Abstract: Such strategy leverages the high capacity of convolutional neural networks to identify and classify potential

Keywords： concrete structure     GPR     damage classification     convolutional neural network     transfer learning    

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Hydrogen for a Net-Zero Carbon World

Nigel P Brandon, James J Brandon

Engineering 2023, Volume 29, Issue 10,   Pages 8-10 doi: 10.1016/j.eng.2023.08.002

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Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0692-4

Abstract: under different pump health conditions are fused into RGB images and then recognized by a convolutional neural

Keywords： axial piston pump     fault diagnosis     convolutional neural network     multi-sensor data fusion    

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Title Author Date Type Operation

The Safe and Quick Long-Distance Transmission MethodBased on BP Neural Net for Engineering Graphics Data

Qin Wei,Qin Shuyu

Journal Article

Research and industrialization of near-net rolling technology used in shaft parts

Zhenghuan HU, Baoyu WANG, Zhenhua ZHENG

Journal Article

Effects of hydraulic retention time on net present value and performance in a membrane bioreactor treating

Dawei Yu, Jianxing Wang, Libin Zheng, Qianwen Sui, Hui Zhong, Meixue Cheng, Yuansong Wei

Journal Article

Special issue: Near-net shaping technology

Dequn LI, Dongming GUO, Qingxue HUANG, Yanchun LOU

Journal Article

Modeling and Analysis of Elevator System Based on Timed-Coloured Petri Net

Zong Qun,Dou Liqian,Cheng Yiju

Journal Article

Determining casting defects in near-net shape casting aluminum parts by computed tomography

Jiehua LI, Bernd OBERDORFER, Daniel HABE, Peter SCHUMACHER

Journal Article

Influence of damages on static behavior of single-layer cable net supported glass curtain wall: full-scale

Gang SHI, Yongjiu SHI, Yuanqing WANG, Yongzhi ZUO, Xiaohao SHI, Zaoyang GUO,

Journal Article

The research of grey clustering decision of assembly sequence based on petri net

Mo Qian,Luo Yi

Journal Article

Getting to Net-Zero Emissions

Chris Greig

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Journal Article

Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Journal Article

Hydrogen for a Net-Zero Carbon World

Nigel P Brandon, James J Brandon

Journal Article

Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

Journal Article