Resource Type

Journal Article 162

Year

2024 1

2023 17

2022 16

2021 9

2020 11

2019 8

2018 4

2017 6

2016 12

2015 6

2014 6

2013 10

2012 8

2011 4

2010 8

2009 5

2008 6

2007 7

2006 2

2005 3

open ︾

Keywords

convolutional neural network 7

maximum power point tracking (MPPT) 5

vector control 4

wind turbine 4

Convolutional neural network 3

doubly-fed induction generator (DFIG) 3

Convolutional neural networks (CNNs) 2

Deep convolutional neural network 2

active power 2

concrete 2

concrete structure 2

control 2

doubly fed induction generator (DFIG) 2

fault diagnosis 2

generator 2

power factor unity 2

quality 2

reactive power 2

wind power 2

open ︾

Search scope:

排序： Display mode:

A multistandard and resource-efficient Viterbi decoder for a multimode communication system None

Yi-qi XIE, Zhi-guo YU, Yang FENG, Lin-na ZHAO, Xiao-feng GU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 536-543 doi: 10.1631/FITEE.1601596

Abstract: We present a novel standard convolutional symbols generator (SCSG) block for a multi-parameter reconfigurableThe SCSG block generates all the states and calculates all the possible standard convolutional symbolsThe architecture of the Viterbi decoder based on the SCSG reduces resource consumption for recalculating

Keywords： Reconfigurable Viterbi decoder     Multi-parameter     Low resource consumption     Standard convolutional symbolsgenerator (SCSG)     Fully optional polynomials    

HTML PDF Collect

Classifying multiclass relationships between ASes using graph convolutional network

Frontiers of Engineering Management   Pages 653-667 doi: 10.1007/s42524-022-0217-1

Abstract: We then introduce new features and propose a graph convolutional network (GCN) framework, AS-GCN, to

Keywords： autonomous system     multiclass relationship     graph convolutional network     classification algorithm     Internet    

HTML PDF Collect

A novel method based on convolutional neural networks for deriving standard 12-lead ECG from serial 3 Regular Papers

Lu-di WANG, Wei ZHOU, Ying XING, Na LIU, Mahmood MOVAHEDIPOUR, Xiao-guang ZHOU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3,   Pages 405-413 doi: 10.1631/FITEE.1700413

Abstract: In this study, we present a novel method based on convolutional neural networks (CNNs) for the synthesisshown to be more accurate and time-saving for deployment in non-hospital situations to synthesize a standard

Keywords： Convolutional neural networks (CNNs)     Electrocardiogram (ECG) synthesis     E-health    

HTML PDF Collect

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    

HTML PDF Collect

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: challenge, this paper presents a method for automating concrete damage classification using a deep convolutionalThe 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    

HTML PDF Collect

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    

HTML PDF Collect

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

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

HTML PDF Collect

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: address this issue, this paper explores a decision-tree-structured neural network, that is, the deep convolutionalThe proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

HTML PDF Collect

Slope stability analysis based on big data and convolutional neural network

Yangpan FU; Mansheng LIN; You ZHANG; Gongfa CHEN; Yongjian LIU

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7,   Pages 882-895 doi: 10.1007/s11709-022-0859-4

Abstract: In this case, the convolutional neural network (CNN) provides a better alternative.

Keywords： slope stability     limit equilibrium method     convolutional neural network     database for slopes     big data    

HTML PDF Collect

Noise control technology for generator sets in enclosures

ZHANG Nailong, YANG Wentong, FEI Renyuan

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4,   Pages 377-384 doi: 10.1007/s11465-008-0051-0

Abstract: The health and life of human beings are affected by loud noise from high power generator sets.

Keywords： equipment     generator     sound-attenuated enclosure     convenient     Enclosure development    

HTML PDF Collect

Research on the ecological compensation standard of the basin pollution control project based on evolutionary

Dongbin HU, Huiwu LIU, Xiaohong CHEN, Yang CHEN

Frontiers of Engineering Management 2019, Volume 6, Issue 4,   Pages 575-583 doi: 10.1007/s42524-019-0044-1

Abstract: Ecological compensation is a new resource and environment management model. As one of the main areas for implementing ecological compensation policies, basin ecological compensation has become an important measure for encouraging basin pollution control projects and improving the quality of regional economic development. By applying the basic game analysis of evolutionary game theory and building an evolutionary game model with a “reward–punishment” mechanism, this paper compares the interest-related decision-making behaviors of the upstream and downstream stakeholders of basin ecological compensation. By using data on the water quality of Xiangjiang River Basin, this paper calculates the rewards and penalties in different intervals by building a parametric regression mathematical model and employing the local linear regression method. Results show that a decline in water quality should be fined RMB 925500 yuan, an improvement in water quality should be awarded RMB 1227800 yuan, and a deteriorating water quality should be severely fined RMB 5087600 yuan.

Keywords： evolutionary game     ecological compensation standard     Xiangjiang River Basin    

HTML PDF Collect

Efficient, high-resolution topology optimization method based on convolutional neural networks

Liang XUE, Jie LIU, Guilin WEN, Hongxin WANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 80-96 doi: 10.1007/s11465-020-0614-2

Abstract: efficient, high-resolution topology optimization method is developed based on the super-resolution convolutional

Keywords： topology optimization     convolutional neural network     high resolution     density-based    

HTML PDF Collect

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11,   Pages 1378-1396 doi: 10.1007/s11709-022-0855-8

Abstract: The graph convolutional neural network (GCN) was used to segment the stitched image.The GCN’s m-IOU is 24.02% higher than Fully convolutional networks (FCN), proving that GCN has

Keywords： underwater cracks     remote operated vehicle     image stitching     image segmentation     graph convolutional    

HTML PDF Collect

Performance prediction of switched reluctance generator with time average and small signal models

Jyoti KOUJALAGI, B. UMAMAHESWARI, R. ARUMUGAM

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 56-68 doi: 10.1007/s11708-012-0216-8

Abstract: paper presents the complete mathematical model and predicts the performance of switched reluctance generatorA PI controller is used for controlling the voltage of the generator.simulation is performed to choose the control parameters and study the performance of switched reluctance generator

Keywords： generator     reluctance     switching model     small signal model     time average model    

HTML PDF Collect

Weak characteristic information extraction from early fault of wind turbine generator gearbox

Xiaoli XU, Xiuli LIU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 357-366 doi: 10.1007/s11465-017-0423-4

Abstract: early degradation characteristic information during early fault evolution in gearbox of wind turbine generator

Keywords： wind turbine generator gearbox     µ-singular value decomposition     local mean decomposition     weak characteristic    

HTML PDF Collect

Title Author Date Type Operation

A multistandard and resource-efficient Viterbi decoder for a multimode communication system

Yi-qi XIE, Zhi-guo YU, Yang FENG, Lin-na ZHAO, Xiao-feng GU

Journal Article

Classifying multiclass relationships between ASes using graph convolutional network

Journal Article

A novel method based on convolutional neural networks for deriving standard 12-lead ECG from serial 3

Lu-di WANG, Wei ZHOU, Ying XING, Na LIU, Mahmood MOVAHEDIPOUR, Xiao-guang ZHOU

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

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

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

Slope stability analysis based on big data and convolutional neural network

Yangpan FU; Mansheng LIN; You ZHANG; Gongfa CHEN; Yongjian LIU

Journal Article

Noise control technology for generator sets in enclosures

ZHANG Nailong, YANG Wentong, FEI Renyuan

Journal Article

Research on the ecological compensation standard of the basin pollution control project based on evolutionary

Dongbin HU, Huiwu LIU, Xiaohong CHEN, Yang CHEN

Journal Article

Efficient, high-resolution topology optimization method based on convolutional neural networks

Liang XUE, Jie LIU, Guilin WEN, Hongxin WANG

Journal Article

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

Journal Article

Performance prediction of switched reluctance generator with time average and small signal models

Jyoti KOUJALAGI, B. UMAMAHESWARI, R. ARUMUGAM

Journal Article

Weak characteristic information extraction from early fault of wind turbine generator gearbox

Xiaoli XU, Xiuli LIU

Journal Article