2019 International Conference on Advanced Electrical Engineering (ICAEE)最新文献_第9页

Performance Assessment of a Direct Torque Controlled Electric Vehicle considering Driving Cycles and Real Load Conditions 考虑行驶周期和实际负载条件的直接转矩控制电动汽车性能评估

2019 International Conference on Advanced Electrical Engineering (ICAEE) Pub Date : 2019-11-01 DOI: 10.1109/ICAEE47123.2019.9014665

A. Oubelaid, N. Taib, T. Rekioua

引用次数: 5

A Haptic interface design for robotics teaching task 机器人教学任务的触觉界面设计

2019 International Conference on Advanced Electrical Engineering (ICAEE) Pub Date : 2019-11-01 DOI: 10.1109/ICAEE47123.2019.9014725

A. Daoudi, Djaber Chibani

引用次数: 0

Multi-objective approach to optimize production and maintenance scheduling in flow shop environment under non-renewable resources constraints 不可再生资源约束下流水车间生产与维修调度优化的多目标方法

2019 International Conference on Advanced Electrical Engineering (ICAEE) Pub Date : 2019-11-01 DOI: 10.1109/ICAEE47123.2019.9014781

Radhwan Boufellouh, F. Belkaid

引用次数: 0

Lumped-Parameter Thermal Model of Induction Motor under Phase Open-Circuit Fault 异步电动机相开路故障下的集总参数热模型

2019 International Conference on Advanced Electrical Engineering (ICAEE) Pub Date : 2019-11-01 DOI: 10.1109/ICAEE47123.2019.9014736

A. Bouzida, R. Abdelli, Aimad Boudouda, Omar Bendjghaba, M. Ouadah

引用次数: 1

Design of Bandpass Filters Based on Metamaterials 基于超材料的带通滤波器设计

2019 International Conference on Advanced Electrical Engineering (ICAEE) Pub Date : 2019-11-01 DOI: 10.1109/ICAEE47123.2019.9014678

Becharef Kada, A. Turkiya, Nouri Keltouma

引用次数: 1

Experimental Ultrasonic NDT Signal of Steel Based on Improved Empirical Mode Decompositions 基于改进经验模态分解的钢的实验超声无损检测信号

2019 International Conference on Advanced Electrical Engineering (ICAEE) Pub Date : 2019-11-01 DOI: 10.1109/ICAEE47123.2019.9014776

Dib Samira, Harrouache Sarra, Fedsi Zahira, Bouden Toufik

{"title":"Experimental Ultrasonic NDT Signal of Steel Based on Improved Empirical Mode Decompositions","authors":"Dib Samira, Harrouache Sarra, Fedsi Zahira, Bouden Toufik","doi":"10.1109/ICAEE47123.2019.9014776","DOIUrl":"https://doi.org/10.1109/ICAEE47123.2019.9014776","url":null,"abstract":"Defects localization and materials characterization are the main goals in ultrasonic NDT. Because of the nonuniform propagation and noisy environment, received echoes are nonstationary, nonlinear and formed of multiple overlapped components. To improve the localization of echoes, several algorithms are proposed in the literature. In this paper, the algorithm based on the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) has been evaluated and compared for ultrasonic applications. Steel plate with a defect is used to evaluate the effectiveness of the method for ultrasonic signals. The experiment has been performed using the low-frequency ultrasonic system conducted at the NDT Laboratory of Jijel University. Numerical simulation and experimental tests show that this method is complete, with a numerically negligible error. The results show that, compared with variants EMD, CEEMDAN also provides a better spectral separation of the modes and a lesser number of sifting iterations is needed, reducing the computational cost. Experimental results clearly exhibit that the combined CEEMDAN and Hilbert Huang Transform (HHT) is an effective processing tool to analyze ultrasonic signals for defect detection and characterization.","PeriodicalId":197612,"journal":{"name":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121274968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tribocharging of granular polymer as affected by the voltage waveform and frequency of a pretreatment by a dielectric barrier discharge 介质阻挡放电预处理的电压波形和频率对颗粒聚合物摩擦充电的影响

2019 International Conference on Advanced Electrical Engineering (ICAEE) Pub Date : 2019-11-01 DOI: 10.1109/ICAEE47123.2019.9014670

A. Nadjem, M. Kachi, K. Medles, G. Richard, L. Dascalescu, T. Zeghloul

{"title":"Tribocharging of granular polymer as affected by the voltage waveform and frequency of a pretreatment by a dielectric barrier discharge","authors":"A. Nadjem, M. Kachi, K. Medles, G. Richard, L. Dascalescu, T. Zeghloul","doi":"10.1109/ICAEE47123.2019.9014670","DOIUrl":"https://doi.org/10.1109/ICAEE47123.2019.9014670","url":null,"abstract":"Triboelectric charges created by friction or contact of several kind of materials are commonly referred to as a source of troubles in most industrial applications, requiring their elimination in most cases. In contrast, the tribocharging of insulating materials is a crucial step for many electrostatic applications involving the electric charges to their proper functioning. Therefore, the acquired charges in this case should be as high as possible to attain the best process performances. The triboelectric charging level depends strongly on the surface state. In this context, the Dielectric Barrier Discharge (DBD), which is non-thermal energetic plasma, is known for its capability to modify surface properties of treated materials and consequently can affect their triboelectric behavior. The purpose of the present work is to study the effect of the DBD electrical parameters on the discharge characteristics and, therefore, the subsequent triboelectric behavior of treated particles of PVC. The carried experiences include the influence of the signal waveform, the applied voltage amplitude and the frequency on the DBD discharge characteristics and the resulting triboelectric charge of PVC particles submitted to the discharge. The DBDtreated particles were charged by triboelectricity in a vibratory device for 5 min. The triboelectric charge acquired by the untreated and DBD-treated particles was measured using a Faraday pail connected to an electrostatic electrometer. The obtained results show that the variation of triboelectric charge acquired by DBD-treated particles depends strongly on the discharge current as well as the discharge distribution in the air gap. The triboelectric charge has been optimally enhanced by about 25% when the square waveform is used with an applied voltage of 27 kV and a 400 Hz frequency.","PeriodicalId":197612,"journal":{"name":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116270676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High frequency wideband permittivity measurements of dielectric liquids using a new stripline structure technique 基于带状线结构的介质液体高频宽带介电常数测量

2019 International Conference on Advanced Electrical Engineering (ICAEE) Pub Date : 2019-11-01 DOI: 10.1109/ICAEE47123.2019.9014812

M. Benaissa, A. Mokraoui, H. Moulai, A. Beroual

引用次数: 0

Multi Sensor Data Fusion With Risk Assessment 多传感器数据融合与风险评估

2019 International Conference on Advanced Electrical Engineering (ICAEE) Pub Date : 2019-11-01 DOI: 10.1109/ICAEE47123.2019.9015084

Elhaouari Kobzili, C. Larbes, Billel Kellalib, Fethi Demim, Ahmed Allam, Abdelghani Boucheloukh

{"title":"Multi Sensor Data Fusion With Risk Assessment","authors":"Elhaouari Kobzili, C. Larbes, Billel Kellalib, Fethi Demim, Ahmed Allam, Abdelghani Boucheloukh","doi":"10.1109/ICAEE47123.2019.9015084","DOIUrl":"https://doi.org/10.1109/ICAEE47123.2019.9015084","url":null,"abstract":"In robotic field, autonomous navigation safely is a timely subject. Therefore, many researchers try to elaborate a reliable system to respond this exigency. Among these systems, we mention multi sensor data fusion. The data fusion is an active field of research, It is almost applied in all domains. it is resolved by several manner. The best represented model of multi sensor fusion by excellence is the human fusion using the five senses. However, in our paper this problem is tackled based on an interesting method applied often in the risk management strategy. In our work, we have designed a new scheme of multi sensor data fusion using risk assessment of a three suggested sensors GPS, INS and Mono-SLAM. Based on these risks, we generate a three parameters dynamically used within an adaptive complementary filter. The aim of our work is to obtain an estimated pose from the three poses provided by the three sensors, but more safely than using ordinary methods of fusion. The simulation of the proposed solution shows a promising results in severe situations. Anyway, the fusion based on this approach at least gives a similar result to the ordinary complementary filter. However, the biggest improvement of the risk assessment reflects amelioration on the pose quality.","PeriodicalId":197612,"journal":{"name":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116011985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Identification of Coherent Generators in Multi-Machine Power Systems 多机电力系统中相干发电机的辨识

2019 International Conference on Advanced Electrical Engineering (ICAEE) Pub Date : 2019-11-01 DOI: 10.1109/ICAEE47123.2019.9015067

Omar Benmiloud, S. Arif

引用次数: 1