2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)最新文献_第4页

Half-broken rotor bar detection on IM by using sparse representation under different load conditions 基于稀疏表示的IM半断转子棒检测

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261594

C. Morales-Perez, J. Rangel-Magdaleno, H. Peregrina-Barreto, J. Ramírez-Cortés

{"title":"Half-broken rotor bar detection on IM by using sparse representation under different load conditions","authors":"C. Morales-Perez, J. Rangel-Magdaleno, H. Peregrina-Barreto, J. Ramírez-Cortés","doi":"10.1109/ROPEC.2017.8261594","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261594","url":null,"abstract":"Currently, the Induction Motor is widely used in industry, due to its easy installation and operation. Induction motors require a more reliable monitoring due to constant operation increases the possibility of faults, for example, a broken rotor bar fault. Early stage, broken bar is not easy to detect, and its evolves is slow and quiet. In the most of cases, it is detected when the fault is critical and other faults have appeared. Many techniques have been proposed in the literature, but majority of these performs analysis in frequency domain, applying additional transformation or preprocessing methods. In this paper, a novel methodology to detect a half-broken bar fault is proposed, making use of the vibration signal from induction motor under two fault conditions: healthy and half-broken bar; and three load conditions: unloaded, half-loaded and three-fourths loaded. The detection is possible due to the sparse representation of the raw signal which is obtained and then evaluated by minimal decomposition error criterion. In this way, preprocessing methods are not needed, and the fault is detected early and directly. These tests were developed in Matlab software, with vibration signals from induction motors in steady state.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120967463","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

SPWM for 9 levels converter implemented in three platforms: Discrete circuit, low cost microcontroller and real-time SPWM的9电平转换器实现在三个平台:分立电路，低成本的微控制器和实时

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261644

F. Martínez-Cárdenas, J. Correa-Gómez, J. A. Salazar-Torres, Jesús R. Alvarado-Sánchez, Salvador C. Jacobo-Cornejo

引用次数: 0

Multi scale recurrence quantification analysis for clustering harmonics on microgrid systems 微电网系统聚类谐波的多尺度递归量化分析

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261617

Emilio Barocio O. C. Robles, J. Segundo, J. C. Olivares-Galvan, D. Guillen

引用次数: 3

Study of the impact of electric vehicles fleets in HV electric power grids based on an uncontrolled charging strategy 基于不受控充电策略的电动汽车对高压电网的影响研究

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261680

Hugo E. Vega Ayala, Norberto García Barriga

{"title":"Study of the impact of electric vehicles fleets in HV electric power grids based on an uncontrolled charging strategy","authors":"Hugo E. Vega Ayala, Norberto García Barriga","doi":"10.1109/ROPEC.2017.8261680","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261680","url":null,"abstract":"This paper addresses the impact of the integration of plug-in electric vehicles (PEV) in a high-voltage (HV) electric grid located in the metropolitan area of the city of Morelia, Mexico. A penetration scenario of 10.5%, which corresponds to 31316 vehicles, is considered by allocating electric vehicles to substations. A time domain modelling of an electric vehicle (EV) and an AC Level-2 charger is implemented in a PSS/E-based simulation platform. Furthermore, an uncontrolled charging strategy is implemented in this paper, which is based on the assumption that EVs owners are free to connect and charge their vehicles whenever they want. Power flow solutions are reported in terms of nodal voltages, power losses and loading impacts in the 115 kV sub-transmission system, substation transformers and transmission system. Results show that the load due to the EVs can help to the nodal voltages regulation in the grid during certain times of the day. However, a large number of EVs can significantly increase the losses and exceed the capacity of the transformers depending on the load curve of each substation.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127186744","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: 3

EEG motor imagery signals classification using maximum overlap wavelet transform and support vector machine 基于最大重叠小波变换和支持向量机的脑电运动图像信号分类

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261667

Cesar E. Hernández-González, J. Ramírez-Cortés, P. Gómez-Gil, J. Rangel-Magdaleno, H. Peregrina-Barreto, Israel Cruz-Vega

引用次数: 4

Stabilization via orthogonal polynomials 正交多项式稳定化

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261612

A. E. Choque-Rivero, Omar Fabián González Hernández

引用次数: 3

Election of variables and short-term forecasting of electricity demand based on backpropagation artificial neural networks 基于反向传播人工神经网络的变量选择与短期电力需求预测

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261630

Xavier Serrano-Guerrero, Ricardo Prieto-Galarza, Esteban Huilcatanda, Juan Cabrera-Zeas, G. Escrivá-Escrivá

引用次数: 9

An improved characterization methodology to efficiently deal with the speech emotion recognition problem 一种改进的表征方法，有效地处理语音情感识别问题

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261686

Bryan E. Martínez, J. C. Jacobo

{"title":"An improved characterization methodology to efficiently deal with the speech emotion recognition problem","authors":"Bryan E. Martínez, J. C. Jacobo","doi":"10.1109/ROPEC.2017.8261686","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261686","url":null,"abstract":"The speaker emotional state recognition task in human-computer interaction will be one of the most common in the future. This task is known as Speech Emotion Recognition (SER). Previous works have developed some characterizations which heavily relies on some sort of feature selection method in order to choose the best subset of features. To our knowledge, no effort has been invested in working out the original features with the idea to improve the classification. In this work, a methodology for feature preprocessing is presented. To this end, our characterization method uses a speech signal from which different characteristics, as well as statistics, are extracted. Then, these characteristics go through a preprocessing phase which will enhance the classification efficiency. After this, a two-stage classification scheme is used. In the first stage k-Means is used for clustering and then in the second stage, we use several standard classifiers. This strategy shows consistently across the classifiers, except for SVM, a superior classification rate (91–100%) than those reported in previous works.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134524455","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: 5

System for the electrical characterization of solar cells based on one data acquisition board and C# 基于单数据采集板和c#的太阳能电池电学表征系统

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261626

J. Fonseca-Campos, Leonardo Fonseca Ruiz, J. Mata-Machuca

引用次数: 0

Wireless system for the detection and monitoring of diseases through exhaled breath 通过呼出气体检测和监测疾病的无线系统

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261584

C. Vásquez, Cristhian Manuel Durán Acevedo

引用次数: 1