2020 International Conference on Electrical Engineering (ICEE)最新文献_第6页

A Comparative Study between the adaptive wavelet transform and DWT Methods Applied to a Outer Raceway Fault Detection in Induction Motors based on the Frequencies Analysis 基于频率分析的自适应小波变换与小波变换在异步电动机外滚道故障检测中的比较研究

2020 International Conference on Electrical Engineering (ICEE) Pub Date : 2020-09-25 DOI: 10.1109/ICEE49691.2020.9249925

W. Bentrah, N. Bessous, S. Sbaa, R. Pusca, R. Romary

{"title":"A Comparative Study between the adaptive wavelet transform and DWT Methods Applied to a Outer Raceway Fault Detection in Induction Motors based on the Frequencies Analysis","authors":"W. Bentrah, N. Bessous, S. Sbaa, R. Pusca, R. Romary","doi":"10.1109/ICEE49691.2020.9249925","DOIUrl":"https://doi.org/10.1109/ICEE49691.2020.9249925","url":null,"abstract":"This paper presents a new application to diagnose the outer race fault in induction machines based on the three-step nonlinear lifting scheme. The wavelet transform is a powerful and complex tool in the context of diagnosis. The discovery of the lifting schemes structure make a wavelet filters simple, rapid and reversible. This method (lifting) is generally used by researchers in the field of image processing. However we are going in this study to use in order to see its effectiveness in the field of diagnosis in electrical machine in induction motors. In addition, we will exploit the experimental results. This study analyzes the stator current of an asynchronous motor for two conditions: the first is a data acquisition of a healthy machine. The second is a defective machine of an outer race fault and inner race fault. The objective of this work focuses particularly on the frequency analysis of the signal indicators of defects. Moreover, it remains necessary to develop filters for the detection, isolation and estimation of these defects by a certain number of diagnostic methods, techniques and to establish selection criteria for their use. For these reasons, this work compares the three-step nonlinear lifting scheme with the MCA-DWT current analysis method to access a valuable decision based on the experimental results.","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122632989","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

Neural Networks Based Frequency-Locked Loop for Grid Synchronization Under Unbalanced and Distorted Conditions 基于神经网络锁频环的不平衡和畸变条件下电网同步

2020 International Conference on Electrical Engineering (ICEE) Pub Date : 2020-09-25 DOI: 10.1109/ICEE49691.2020.9249923

Adel Rahoui, B. Boukais, Koussaila Mesbah, T. Otmane-Cherif

引用次数: 2

Design of a Dual Polarized mmWave Horn Antenna Using Decoupled Microstrip Line Feeder 去耦微带馈线双极化毫米波喇叭天线设计

2020 International Conference on Electrical Engineering (ICEE) Pub Date : 2020-09-25 DOI: 10.1109/ICEE49691.2020.9249801

M. Tekbaş, A. Toktas, G. Çakir

{"title":"Design of a Dual Polarized mmWave Horn Antenna Using Decoupled Microstrip Line Feeder","authors":"M. Tekbaş, A. Toktas, G. Çakir","doi":"10.1109/ICEE49691.2020.9249801","DOIUrl":"https://doi.org/10.1109/ICEE49691.2020.9249801","url":null,"abstract":"In this study, a dual polarized horn antenna (DPHA) with a novel feeding system was designed at W band for millimeter wave receivers. The DPHA consists of the printed circuit board (PCB feeding system and back side short cavity, which closes the rear of the wave guide and a pyramid horn in the direction of radiation. The PCB feeding system has two orthogonally positioned microstrip line feeder elements with 50Ohm microstrip transmission line (MTL) and symmetrical square patches. There is enough space in DPHA for additional electronic circuits following the feeding system, such as LNA and mixer. Moreover, various parasitic strip line structure such as monopole, T shape, Y shape, short circuit and neutralization line were then added between the square patches so as to further increase the isolation between the feeding ports. The best isolation level was thus achieved by using the monopole structure without resulting in a gain loss. The DPHA was therefore designed with higher than 20dBi gain and a level of 15dB isolation as dual polarization between 80GHz and 100GHz. The DPHA can be used in millimeter wave polarimetric imaging systems and similar applications.","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126945604","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: 4

Variable Mode Hybrid Control Based on Half-bridge LLC Resonant Converter for Stabilize The Voltage 基于半桥LLC谐振变换器的电压稳定变模混合控制

2020 International Conference on Electrical Engineering (ICEE) Pub Date : 2020-09-25 DOI: 10.1109/ICEE49691.2020.9249776

Lingzhi Yi, Huanyue Liao, Peng Jiang, Wang Li, Junyong Sun

引用次数: 0

Study of the energy scavenging by piezoelectric transducers on the knee during a gait 膝关节上压电换能器在步态中能量清除的研究

2020 International Conference on Electrical Engineering (ICEE) Pub Date : 2020-09-25 DOI: 10.1109/ICEE49691.2020.9249859

Abdelmalek Bouzid, S. Soulimane, Mohammed el Amine BRIXI-NIGASSA

{"title":"Study of the energy scavenging by piezoelectric transducers on the knee during a gait","authors":"Abdelmalek Bouzid, S. Soulimane, Mohammed el Amine BRIXI-NIGASSA","doi":"10.1109/ICEE49691.2020.9249859","DOIUrl":"https://doi.org/10.1109/ICEE49691.2020.9249859","url":null,"abstract":"Converting the mechanical energy of human body to electrical energy became promising alternative to ensure power supply of nomadic devices. This approach has great potential innovation and respect for environmental issue and falls under the termed of renewable energy. In this work, the design and simulation of a transducer that can convert the mechanical availed energy due to knee flexion during gait cycle into electrical energy are studied. This transducer consists of bimorph piezoelectric cantilever beam with a tip mass at the end. This beam is designed to be positioned in the back side of knee to transfer the mechanical excitation due the knee flexions. Using Comsol Multiphysics, simulations were performed to expose the output power that can generate since a single transducer and two transducers although phases of walking cycle. In full stride at naturel walking speed of l m/s has a frequency of IHZ (two steps per second) the maximum power that can be stored is 36 mW from a single transducer at 10° angle of knee flexion. This value was observed decrease to 2. 5mW at loading response phase of two transducers. The level of power attained with two transducers is lower than single transducer in each angle of knee flexion. This evaluation of output energy demonstrates that energy harvesting from knee motion during walking can supply autonomous systems.","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132737227","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

ICEE 2020 TOC ICEE 2020 TOC

2020 International Conference on Electrical Engineering (ICEE) Pub Date : 2020-09-25 DOI: 10.1109/icee49691.2020.9249812

引用次数: 0

Wind Power Ramp Events Prediction Considering Time-frequency Characteristics 考虑时频特性的风电坡道事件预测

2020 International Conference on Electrical Engineering (ICEE) Pub Date : 2020-09-25 DOI: 10.1109/ICEE49691.2020.9249889

Lijuan Li, Zeyu Li, Yiwei Zeng, Yongdong Chen, Yuan Li

{"title":"Wind Power Ramp Events Prediction Considering Time-frequency Characteristics","authors":"Lijuan Li, Zeyu Li, Yiwei Zeng, Yongdong Chen, Yuan Li","doi":"10.1109/ICEE49691.2020.9249889","DOIUrl":"https://doi.org/10.1109/ICEE49691.2020.9249889","url":null,"abstract":"Accurate prediction of wind power ramp events plays an important role in the operation and dispatch of power systems with high wind power penetration. Aiming at the problem that the failure to effectively decompose and refine the high-frequency components of wind power affects wind power prediction and thus reduces the ramp events identification accuracy, a novel ramp events prediction model using wavelet packet transform (WPT) to describe the high-frequency characteristics of wind power is proposed in this paper. Firstly, WPT is adopted to decompose the historical wind power sequence. Then, extreme learning machine (ELM) is used to predict each power component. Finally, by analysing the characteristics of different ramp events identification definitions, a combination definition considering wind power time-frequency characteristics is proposed and a ramp events prediction model of WPT-ELM is established. Extensive tests using actual power data of a wind farm in northern China demonstrate that the proposed prediction model has higher prediction accuracy and can effectively identify wind power ramp events.","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133982416","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

Using Of Neural Network Controller And Fuzzy PID Control To Improve Electric Vehicle Stability Based On A14-DOF Model 基于A14-DOF模型，利用神经网络控制器和模糊PID控制提高电动汽车的稳定性

2020 International Conference on Electrical Engineering (ICEE) Pub Date : 2020-09-25 DOI: 10.1109/ICEE49691.2020.9249784

A. Ahmed, A.F. Saleh Alshandoli

引用次数: 9

Accurate Depth-from-Focus Reconstruction using Local and Nonlocal Smoothness Priors 基于局部和非局部平滑先验的精确深度重建

2020 International Conference on Electrical Engineering (ICEE) Pub Date : 2020-09-25 DOI: 10.1109/ICEE49691.2020.9249800

Zhiqiang Ma, Dongjoon Kim, Y. Shin

引用次数: 0

ICEE 2020 Committees

2020 International Conference on Electrical Engineering (ICEE) Pub Date : 2020-09-25 DOI: 10.1109/icee49691.2020.9249852

引用次数: 0