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聽(tīng)說(shuō)AMM/AMR更新了，幫忙查查幾篇文章EI檢索情況，在線等，謝謝�。� Control Model of Vehicle Turning Stability Based on Neural Network AMR 590卷 Study on Fatigue Life of Spring Bracket for Air Suspension System AMR 590卷 Study on Macroscopic Prediction Model of Traffic Accident Influence Factors AMR 590卷 作者 Yuzhuo Men |
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fruitmycorrhiza
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Accession number: 20125015792876 Title: Control model of vehicle turning stability based on neural network Authors: Men, Yuzhuo1 ; Yu, Haibo2 ; Pan, Xin3; Li, Yuewei2; Huo, Na2 Author affiliation: 1School of Mechatronics Engineering, Changchun Institute of Technology, Changchun, Jilin, 130012, China 2China FAW Co., Ltd. R and D Center, Changchun, Jilin, 130011, China 3School of Electrical and Information Engineering, Changchun Institute of Technology, Changchun, Jilin, 130012, China Corresponding author: Yu, H. (xiaopangdingding@sina.com) Source title: Advanced Materials Research Abbreviated source title: Adv. Mater. Res. Volume: 590 Monograph title: Mechatronic Systems and Materials Application Issue date: 2012 Publication year: 2012 Pages: 279-283 Language: English ISSN: 10226680 ISBN-13: 9783037855294 Document type: Conference article (CA) Conference name: 2012 International Conference on Mechatronic Systems and Materials Application, ICMSMA 2012 Conference date: September 8, 2012 - September 9, 2012 Conference location: Qingdao, China Conference code: 94270 Publisher: Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany Abstract: In order to research the turning stability of a semi-active suspension vehicle, the suspension damping BP (Back Propagation) neutral network PID (Proportion-Integral-Differential) control technique was proposed. The ideal and actual yaw rate error is taken as the control targets to carry on the turning stability closed-loop control. The vehicle yaw rate is controlled to analyze the impacts of the suspension damping change on the wheel vertical load and roll. The MATLAB software was applied to carry out simulation according to the single lane steering and step turning working conditions. The results show that the suspension damping can be controlled to control the vehicle yaw and cornering motions in the process of the vehicle turning on the high adhesion road. When the front suspension damping is increased and the rear suspension damping is decreased synchronously, the load transfer of the left and right wheels of the front and rear axles is obviously decreased, thus being able to effectively restrain the over-steering behavior of the vehicle. © (2012) Trans Tech Publications, Switzerland. Number of references: 6 Main heading: Vehicle wheels Controlled terms: Computer software - Damping - MATLAB - Mechatronics - Neural networks - Proportional control systems - Vehicle suspensions - Vehicles Uncontrolled terms: Closed-loop control - Control model - Control strategies - Control target - Control techniques - High-adhesion - Load transfer - Matlab- software - Neutral network - Rear suspension - Semi-active suspension vehicle - Suspension damping - Vertical load - Yaw rate Classification code: 921 Mathematics - 731.1 Control Systems - 723.4 Artificial Intelligence - 931.1 Mechanics - 723 Computer Software, Data Handling and Applications - 601.2 Machine Components - 432 Highway Transportation - 608 Mechanical Engineering, General DOI: 10.4028/www.scientific.net/AMR.590.279 Database: Compendex Compilation and indexing terms, © 2012 Elsevier Inc. |
2樓2012-12-24 11:20:25
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第二篇 Accession number: 20125015792892 Title: Study on fatigue life of spring bracket for air suspension system Authors: Men, Yuzhuo1 ; Yu, Haibo2 ; Pan, Xin3; Cheng, Chao2; Huo, Na2 Author affiliation: 1School of Mechatronics Engineering, Changchun Institute of Technology, Changchun, Jilin, 130012, China 2China FAW Co., Ltd. R and D Center, Changchun, Jilin, 130011, China 3School of Electrical and Information Engineering, Changchun Institute of Technology, Changchun, Jilin, 130012, China Corresponding author: Yu, H. (xiaopangandding@sina.com) Source title: Advanced Materials Research Abbreviated source title: Adv. Mater. Res. Volume: 590 Monograph title: Mechatronic Systems and Materials Application Issue date: 2012 Publication year: 2012 Pages: 372-376 Language: English ISSN: 10226680 ISBN-13: 9783037855294 Document type: Conference article (CA) Conference name: 2012 International Conference on Mechatronic Systems and Materials Application, ICMSMA 2012 Conference date: September 8, 2012 - September 9, 2012 Conference location: Qingdao, China Conference code: 94270 Publisher: Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany Abstract: In order to research the fatigue life characteristics of the pivotal load carrying structure equalizing beam of a heavy-duty truck, a fatigue damage simulation calculation method is presented based on the digital proving ground. The typical proving ground durability virtual digital pavement is built by the ADAMS, with the simulation and pavement test should obtain the dynamic load of the equalizing beam in the running state, LMSTecWare software is used to calculate fatigue damage of the pivotal load carrying structure. The contrast results of simulation and test indicate that the simulation results of the cumulative fatigue damage of the equalizing beam coincide with the pavement test very wel1, and the method can be use to carry out the fatigue life simulation and the fatigue life prediction of the pivotal structure of the heavy-duty truck, and reduce the new product development period and reduce the development cost. © (2012) Trans Tech Publications, Switzerland. Number of references: 8 Main heading: Automobile testing Controlled terms: Durability - Dynamic loads - Fatigue damage - Fatigue of materials - Mechatronics - Pavements - Software testing - Trucks Uncontrolled terms: ADAMS - Air suspension - Cumulative fatigue damage - Damage simulation - Development costs - Fatigue life prediction - Fatigue life simulation - Heavy duty trucks - Load-carrying structure - New product development Classification code: 663.1 Heavy Duty Motor Vehicles - 663 Buses, Tractors and Trucks - 662 Automobiles and Smaller Vehicles - 723.5 Computer Applications - 608 Mechanical Engineering, General - 408.1 Structural Design, General - 406.2 Roads and Streets - 421 Strength of Building Materials; Mechanical Properties DOI: 10.4028/www.scientific.net/AMR.590.372 Database: Compendex Compilation and indexing terms, © 2012 Elsevier Inc. |
3樓2012-12-24 11:21:06
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Accession number: 20125015792920 Title: Study on macroscopic prediction model of traffic accident influence factors Authors: Men, Yuzhuo1 ; Yu, Haibo2 ; Pan, Xin3 Author affiliation: 1School of Mechatronics Engineering, Changchun Institute of Technology, Changchun, Jilin, 130012, China 2China FAW Co., Ltd. R and D Center, Changchun, Jilin, 130011, China 3School of Electrical and Information Engineering, Changchun Institute of Technology, Changchun, Jilin, 130012, China Corresponding author: Yu, H. (yuhaibosyb@sina.com) Source title: Advanced Materials Research Abbreviated source title: Adv. Mater. Res. Volume: 590 Monograph title: Mechatronic Systems and Materials Application Issue date: 2012 Publication year: 2012 Pages: 531-535 Language: English ISSN: 10226680 ISBN-13: 9783037855294 Document type: Conference article (CA) Conference name: 2012 International Conference on Mechatronic Systems and Materials Application, ICMSMA 2012 Conference date: September 8, 2012 - September 9, 2012 Conference location: Qingdao, China Conference code: 94270 Publisher: Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany Abstract: In order to study the main influence factors on urban traffic accident, the grey correlation system macroscopic prediction method was presented. Concerning the overall environmental perspective of people, automobile, and road as well as the distinctive characteristic of urban traffic accident, the prediction model of factors contributing to traffic accident was proposed. EXCEL software was applied to analyze the relations between the influence factors and traffic accidents with grey theory model adopted to calculate the correlation grade among different factors. The prediction Model was also validated through examples on the basis of the investigation of traffic accident and the relevant statistics. The results show that the model is applicable and efficient in forecasting the main factors and the relations between them, thus to avoid traffic accidents. © (2012) Trans Tech Publications, Switzerland. Number of references: 5 Main heading: Highway accidents Controlled terms: Mathematical models - Mechatronics Uncontrolled terms: EXCEL software - Grey correlation - Grey theory - Prediction methods - Prediction model Classification code: 608 Mechanical Engineering, General - 914.1 Accidents and Accident Prevention - 921 Mathematics DOI: 10.4028/www.scientific.net/AMR.590.531 Database: Compendex Compilation and indexing terms, © 2012 Elsevier Inc. 第三篇 |
4樓2012-12-24 11:21:42
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