Resource Type

Journal Article 577

Conference Videos 39

Conference Topics 1

Year

2024 1

2023 39

2022 66

2021 41

2020 36

2019 35

2018 39

2017 38

2016 30

2015 62

2014 26

2013 37

2012 16

2011 20

2010 25

2009 17

2008 13

2007 17

2006 8

2005 10

open ︾

Keywords

maximum power point tracking (MPPT) 11

wind power 10

manufacturing power 8

optimization 8

renewable energy 8

nuclear power plant 7

power quality 6

automobile power 5

sustainable development 5

BP neural network 4

manufacturing 4

offshore wind power 4

power generation 4

smart grid 4

Artificial intelligence 3

control 3

vector control 3

BP algorithm 2

Biomass 2

open ︾

Search scope:

排序： Display mode:

Impact of oxygen enriched combustion on the performance of a single cylinder diesel engine

K. RAJKUMAR, P. GOVINDARAJAN

Frontiers in Energy 2011, Volume 5, Issue 4,   Pages 398-403 doi: 10.1007/s11708-011-0157-7

Abstract: These effects have the potential to increase the thermal efficiency and specific power output of a dieselThe power increases considerably with oxygen enrichment.In addition, oxygen enrichment can also be considered as a way to reduce the sudden loss in power outputconducted in the above said engine for different loads and the following performance characteristics like brakepower (BP), specific fuel consumption (SFC), mean effective pressure, brake thermal efficiency, mechanical

Keywords： oxygen enriched combustion     exhaust gas temperature     brake power (BP)     specific fuel consumption (SFC)    

HTML PDF Collect

Real-time monitoring of brake shoe keys in freight cars

Rong ZOU,Zhen-ying XU,Jin-yang LI,Fu-qiang ZHOU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 191-204 doi: 10.1631/FITEE.1400305

Abstract: The brake shoe key (BSK) is an important component in the brake system, and its absence will lead to

Keywords： Condition monitoring     Feature expression     Brake shoe key     Machine vision    

HTML PDF Collect

Wear mechanism of disc-brake block material for new type of drilling rig

WANG Xinhua, WANG Simin, ZHANG Siwei, WANG Deguo

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1,   Pages 10-16 doi: 10.1007/s11465-008-0009-2

Abstract: To improve friction and wear performance and service life of the disc-brake pair material of a drillingrig, a new type of asbestos-free frictional material with better performance for disc-brake blocks isTopography and elementary components of the brake block’s wear surface are analyzed by employing SEMWhen the frictional temperature is lower, the surface film of the brake block is thinner, dense, smoothof the brake block.

Keywords： asbestos-free frictional     Fracture     cyclization     friction     disc-brake    

HTML PDF Collect

Study on the Purification of Wastewater in the Constructed Wetland Based on GA－BP Network

Huang Juan,Wang Shihe,Luo Weiguo,Qian Weiyi ,Yan Lu

Strategic Study of CAE 2007, Volume 9, Issue 2,   Pages 79-83

Abstract: Optimized GA-BP network was established to simulate orthogonal test of wetland system.

Keywords： constructed wetlands     wastewater purification     GA-BP network     orthogonal test    

HTML PDF Collect

Research on the Forecast of the BP Neural Network Based on the Orthogonal Test

Cai Anhui,Liu Yonggang,Sun Guoxiong

Strategic Study of CAE 2003, Volume 5, Issue 7,   Pages 67-71

Abstract:

The strategy for forecasting the BP neural network was researched on the basis of the training-studyingwhose factors were the same as that of the self-contained orthogonal sample could be forecast in the BP

Keywords： BP neural network     orthogonal test     strategy     design-test approach     sample collection    

HTML PDF Collect

An Improved BP Algorithm Applying to Inverse Kinematics Problems of Robot Manipulator

Wu Aiguo,Hao Runsheng

Strategic Study of CAE 2005, Volume 7, Issue 7,   Pages 34-38

Abstract: paper, an algorithm in which active function is improved is proposed through analyzing the conventional BPnetworks are used to establish the inverse kinematics models for robot manipulator by this improved BPand improves the inverse kinematics solutions for robot manipulator as compared to the conventional BP

Keywords： neural networks     BP algorithm     active function     robot manipulator     inverse kinematics    

HTML PDF Collect

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: is built and data code compression and data encryption are put in practice at the same time by using BP

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

HTML PDF Collect

Optimization of turbine cold-end system based on BP neural network and genetic algorithm

Chang CHEN,Danmei XIE,Yangheng XIONG,Hengliang ZHANG

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 459-463 doi: 10.1007/s11708-014-0335-5

Abstract: impact on the economy and security of the unit as it is an indispensible auxiliary system of the thermal powerultra-supercritical (USC) unit, the turbine cold-end system, was performed utilizing the back propagation (BP

Keywords： optimization     turbine     cold-end system     BP neural network     genetic algorithm    

HTML PDF Collect

Research on Nonlinear Combination Forecasting Approach Based on BP-AGA

Wang Shuo,Zhang Youfu,Jin Juliang

Strategic Study of CAE 2005, Volume 7, Issue 4,   Pages 83-87

Abstract: AGA was used to optimize the network parameters as BP approach was slow with training network.Optimization results of AGA were taken as original values of BP approach, the network was trained withBP approach.Network convergence rate was increased with running BP approach and AGA alternately.

Keywords： neural network     accelerating genetic algorithm     nonlinear combination forecasting     forecasting precision    

HTML PDF Collect

An Improving Method of BP Neural Network and Its Application

Li Honggang,Lü Hui,Li Gang

Strategic Study of CAE 2005, Volume 7, Issue 5,   Pages 63-65

Abstract:

Seeing on that in BPNN the small learning gene will make the long training time, but the large learning gene will make the BPNN surging, this paper brings forward a way to modify the learning gene, that is, adding a proportion gene before the learning gene, The proportion gene will change when the weight of the BPNN needs to be modified. This can shorten the training time and make convergence better as well. The simulating results show that the new algorithm is much better than the old one during BPNN scouting the missile command.

Keywords： BPNN     improved algorithm     simulation    

HTML PDF Collect

Study of Forecast of Building Cost Based on Neural Network

Nie Guihua,Liu Pingfeng,He Liu

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 56-59

Abstract:

In the constantly changing marketing economy, it has become an urgent task for construction industry to find a rapid, simple and practical way to organize construction project budget. To solve this problem, this paper adopts the model of the back-propagation neural network, takes the features of construction as input variables, trains the network using actual data as samples and optimizes the network structure by contribution analysis. It shows the validity of the model in the forecast of construction project budget.

Keywords： BP neural network     building budget     forecast    

HTML PDF Collect

Transient analysis of thermoelastic contact problem of disk brakes

Ali BELHOCINE, Mostefa BOUCHETARA

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 150-159 doi: 10.1007/s11465-013-0266-6

Abstract: main purpose of this study is to analyze the thermomechanical behavior of the dry contact between the brake

Keywords： brake disks     heat flux     heat-transfer coefficient     Von Mises stress     contact pressure    

HTML PDF Collect

Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 30-35

Abstract:

Intelligent calculating tools such as fuzzy optimization approaches, BP neural network and geneticthese approaches, and then, in this paper, the author organically synthesizes fuzzy optimal selection, BPthe correlation of forecasting factors and forecasting objective, then takes the matrix as input of BP

Keywords： fuzzy optimal selection     BP neural network     genetic algorithm     intelligent forecasting mode     mid and long    

HTML PDF Collect

Three-dimensional electromagnetic analysis and design of permanent magnet retarder

Lezhi YE, Desheng LI, Bingfeng JIAO

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 438-441 doi: 10.1007/s11465-010-0111-0

Abstract: An eddy current retarder for vehicles generates much heat when it works continuously, which leads to serious decline in braking torque. This paper proposes a novel permanent magnet retarder (PMR) for vehicles, whose cooling system connects with engine cooling-water. A three-dimensional finite element model is developed to model the electromagnetic behavior of a permanent magnet retarder under a constant speed. The magnetic field and eddy current field in PMR are numerically solved by a finite element method. By accounting for the nonlinear permeability of the rotor and the weakened effect in the magnetic field that is generated by the eddy current magnetic field, the calculation accuracy of air-gap magnetic field is enhanced. Experiment shows that the temperature of the retarder is less than 150°C, and the braking torque keeps the hard characteristics curve. The calculated air-gap magnetic flux density is fairly good agreement with the measured one.

Keywords： auxiliary brake     permanent magnet retarder     water-cooling     finite element method    

HTML PDF Collect

Hydrogeological Parameter Identification Based on the Radial Basis Function Neural Networks

Zhang Junyan,Wei Lianwei,Han Weixiu,Shao Jingli,Cui Yali,Zhang Jianli

Strategic Study of CAE 2004, Volume 6, Issue 8,   Pages 74-78

Abstract:

The problem of hydrogeological parameter identification is actually a complex one. With the limit of identifying the parameter by traditional methods, the radial basis function neural networks (RBF) is applied into this area. Not only the parameter identification is automatically realized, but also th.e problem of local optimization is solved. The feasibility and effectiveness have been proved by the examples.

Keywords： groundwater     hydrogeological parameter     radial basis function (RBF) neural networks     BP neural networks    

HTML PDF Collect

Title Author Date Type Operation

Impact of oxygen enriched combustion on the performance of a single cylinder diesel engine

K. RAJKUMAR, P. GOVINDARAJAN

Journal Article

Real-time monitoring of brake shoe keys in freight cars

Rong ZOU,Zhen-ying XU,Jin-yang LI,Fu-qiang ZHOU

Journal Article

Wear mechanism of disc-brake block material for new type of drilling rig

WANG Xinhua, WANG Simin, ZHANG Siwei, WANG Deguo

Journal Article

Study on the Purification of Wastewater in the Constructed Wetland Based on GA－BP Network

Huang Juan,Wang Shihe,Luo Weiguo,Qian Weiyi ,Yan Lu

Journal Article

Research on the Forecast of the BP Neural Network Based on the Orthogonal Test

Cai Anhui,Liu Yonggang,Sun Guoxiong

Journal Article

An Improved BP Algorithm Applying to Inverse Kinematics Problems of Robot Manipulator

Wu Aiguo,Hao Runsheng

Journal Article

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

Qin Wei,Qin Shuyu

Journal Article

Optimization of turbine cold-end system based on BP neural network and genetic algorithm

Chang CHEN,Danmei XIE,Yangheng XIONG,Hengliang ZHANG

Journal Article

Research on Nonlinear Combination Forecasting Approach Based on BP-AGA

Wang Shuo,Zhang Youfu,Jin Juliang

Journal Article

An Improving Method of BP Neural Network and Its Application

Li Honggang,Lü Hui,Li Gang

Journal Article

Study of Forecast of Building Cost Based on Neural Network

Nie Guihua,Liu Pingfeng,He Liu

Journal Article

Transient analysis of thermoelastic contact problem of disk brakes

Ali BELHOCINE, Mostefa BOUCHETARA

Journal Article

Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Journal Article

Three-dimensional electromagnetic analysis and design of permanent magnet retarder

Lezhi YE, Desheng LI, Bingfeng JIAO

Journal Article

Hydrogeological Parameter Identification Based on the Radial Basis Function Neural Networks

Zhang Junyan,Wei Lianwei,Han Weixiu,Shao Jingli,Cui Yali,Zhang Jianli

Journal Article