2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)最新文献_第3页

Power Flow Method for Distribution Grids Including DC/DC transformers 包括DC/DC变压器在内的配电网潮流方法

2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2021-11-10 DOI: 10.1109/ropec53248.2021.9668032

Cristóbal R. Ramos, Jesús H. Sánchez, L. M. Castro

引用次数: 0

Modulated Model Predictive Control for Single-Phase 2-Level Shunt Active Power Filter 单相2电平并联有源电力滤波器的调制模型预测控制

2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2021-11-10 DOI: 10.1109/ropec53248.2021.9668122

R. Morales-Caporal

引用次数: 0

Detection of Short-Circuited Turns in Transformer Vibration Signals using MUSIC-Empirical Wavelet Transform and Fractal Dimension 基于music -经验小波变换和分形维数的变压器振动信号短路匝数检测

2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2021-11-10 DOI: 10.1109/ropec53248.2021.9667997

Jose R. Huerta-Rosales, M. Valtierra-Rodríguez, J. Amezquita-Sanchez, D. Granados-Lieberman

{"title":"Detection of Short-Circuited Turns in Transformer Vibration Signals using MUSIC-Empirical Wavelet Transform and Fractal Dimension","authors":"Jose R. Huerta-Rosales, M. Valtierra-Rodríguez, J. Amezquita-Sanchez, D. Granados-Lieberman","doi":"10.1109/ropec53248.2021.9667997","DOIUrl":"https://doi.org/10.1109/ropec53248.2021.9667997","url":null,"abstract":"In electrical systems, the transformers have an important role; therefore, their correct operation is fundamental. However, they can present malfunctions due to different types of faults. The short-circuited turns (SCTs) are one of the main causes of transformer damages, which can scale into most serious faults. In this regard, there are several works in literature to diagnose this type of fault through the analysis of vibration signals. In this work, the vibration signals are analyzed to diagnose the transformer condition; however, the analysis of a vibration signal with no relevant information and a high level of noise is not a simple task. In this work, the problem is addressed using the MUSIC-empirical wavelet transform (MEWT). This technique allows extracting the relevant features from vibration signals. Additionally, three fractal dimension algorithms (FDAs): Katz, Sevcik, and Petrosian, are proposed and investigated as potential fault indicators. To test the proposed methodology, a modified transformer to emulate different SCTs fault conditions is used. These conditions are healthy, 5, 10, and 15 SCTs. The results show that MEWT removes properly noise and irrelevant information, allowing the identification of the fault condition using the FDAs as indicators.","PeriodicalId":174166,"journal":{"name":"2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115461843","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

A reconfigurable IoT system for the measurement of greenhouse variables 用于测量温室变量的可重构物联网系统

2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2021-11-10 DOI: 10.1109/ropec53248.2021.9668088

Alejandro Espinosa Calderon, Brian Giovanni Rios Mendoza, Luz Del Carmen Garcia Rodriguez, Felix Alfredo Lopez Romero, Juan Prado Olivarez, M. R. Licea, J. D. Carmona, Rosario Guzmán Cruz, V. M. Tavera

{"title":"A reconfigurable IoT system for the measurement of greenhouse variables","authors":"Alejandro Espinosa Calderon, Brian Giovanni Rios Mendoza, Luz Del Carmen Garcia Rodriguez, Felix Alfredo Lopez Romero, Juan Prado Olivarez, M. R. Licea, J. D. Carmona, Rosario Guzmán Cruz, V. M. Tavera","doi":"10.1109/ropec53248.2021.9668088","DOIUrl":"https://doi.org/10.1109/ropec53248.2021.9668088","url":null,"abstract":"There are various methods and equipment for the measurement of greenhouse variables with IoT, however, most of them have disadvantages such as expensiveness, limited coverage, or lack updating capacity through new technologies. Hence, this article aims to explain the development of a greenhouse variable measurement system, whose magnitudes will be recorded in a database to later be accessed from a device connected to the internet, with the possibility of reconfiguring it in order to measure other variables, and/or adapt it to other sensors and/or applications. A methodology for the use of a FPGA based data acquisition and processing card, in addition to a Raspberry-Pi IoT system are described, with which communication will be established with the following measurement sensors: TMP006 (infrared, IR, temperature), TSL230 (solar radiation), SHT75 (air temperature and relative humidity), and FC-28 (soil humidity). This system will not only allow real-time in situ acquisition and processing, but also will store the information gathered in a database located on local and external servers using open-source code. The system includes both IoT and in situ interfaces. Communication protocols are used to measure the variables. Statistical tests were performed for the monitored data, verifying its accuracy. The sensors' performance reached correlations over $r=0.9$ in most of the cases. Lower correlations and significant measurement errors depend specifically on the selected sensor.","PeriodicalId":174166,"journal":{"name":"2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123163874","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

Classification of Bean (Phaseolus vulgaris L.) Landraces with Heterogeneous Seed Color using a Probabilistic Representation 豆(Phaseolus vulgaris L.)的分类种子颜色不均匀的地方品种的概率表示

2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2021-11-10 DOI: 10.1109/ropec53248.2021.9668106

José Luis Morales Reyes, Héctor Gabriel Acosta Mesa, E. A. Bolaños, Socorro Herrera Meza, Nicandro Cruz Ramírez, J. L. C. Servia

{"title":"Classification of Bean (Phaseolus vulgaris L.) Landraces with Heterogeneous Seed Color using a Probabilistic Representation","authors":"José Luis Morales Reyes, Héctor Gabriel Acosta Mesa, E. A. Bolaños, Socorro Herrera Meza, Nicandro Cruz Ramírez, J. L. C. Servia","doi":"10.1109/ropec53248.2021.9668106","DOIUrl":"https://doi.org/10.1109/ropec53248.2021.9668106","url":null,"abstract":"Two of the most used techniques to characterize color in common bean landraces have been spectrophotometry and color analysis in digital images. The main limitation in previous works has mainly been that data have been obtained from specific points of homogeneous regions or mean of regions. A particular characteristic of native bean populations is that they comprise not only seeds of different colors but also of heterogeneous colors. We propose a computer vision system based on the use of histograms to represent the color properties from joint probability distributions of acquired color spaces that come from digital images in RGB and CIE 1976 L*a*b*. We used 54 common bean landraces collected in different regions of the State of Oaxaca, Mexico. The classification accuracy of K-NN algorithm was 68.24%, 44.44%, and 53.80% with the spectrophotometer measures, RGB averages, and CIE 1976 L*a*b* averages respectively, while this same classifier achieved an average of 80% with histograms. Our results suggest that the two components regarding the chromaticity in CIE 1976 L*a*b* are enough to achieve the highest classification accuracy. Our proposal is not exclusive to classifying bean landraces; it might be used for fruit or vegetable color assessment.","PeriodicalId":174166,"journal":{"name":"2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128307690","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

Smart monitoring system to diagnose faults in a greenhouse 用于温室故障诊断的智能监控系统

2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2021-11-10 DOI: 10.1109/ropec53248.2021.9668013

Alberto Jaimes Pita, Javier Ruíz Leon, Ofelia Begovich Mendoza

引用次数: 0

Review of fault location algorithms in transmission lines 输电线路故障定位算法综述

2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2021-11-10 DOI: 10.1109/ropec53248.2021.9667994

V. González-Sánchez, V. Torres-García, D. Guillen, S. Ramirez-Zavala

引用次数: 1

Wind Emulation System to Validate Characteristic Parameters of Distributed Systems 风力仿真系统对分布式系统特性参数的验证

2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2021-11-10 DOI: 10.1109/ropec53248.2021.9668029

F. Quizhpi-Palomeque, Paul Loja-Encalada, M. Quizhpi-Cuesta

{"title":"Wind Emulation System to Validate Characteristic Parameters of Distributed Systems","authors":"F. Quizhpi-Palomeque, Paul Loja-Encalada, M. Quizhpi-Cuesta","doi":"10.1109/ropec53248.2021.9668029","DOIUrl":"https://doi.org/10.1109/ropec53248.2021.9668029","url":null,"abstract":"In this research, a wind emulator was developed to validate parameters of distributed systems, the emulator is made up of two important parts. The first stage reproduces the wind speed-torque conditions utilizing a control system (test platform) for induction motors developed by the Energy Research Group (GIE) of the Universidad Politécnica Salesiana. In the second stage, through Matlab, the mathematical model of a 5 HP induction motor was developed for analysis as a generator, presenting the analysis of results in a graphical interface. Together, the emulator aims to find the structural design of the wind turbine to bed coupled to the induction machine and obtain the maximum performance that it can deliver, depending on the characteristics of the wind. A comparison was made of the mechanical torque acquired from the emulator managed by DSP ++ and the wind simulator in Matlab, arriving at a comparison of frequency vs. torque, wind speed vs. torque, and a final comparison of wind speed vs. frequency. The operation of the emulator and the proposed method to verify the behavior of the induction machine as a motor or generator are validated.","PeriodicalId":174166,"journal":{"name":"2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129988375","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

A Review on Face Recognition-based Access Control Systems 基于人脸识别的门禁系统研究进展

2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2021-11-10 DOI: 10.1109/ropec53248.2021.9667991

M. Garcia-Gomez, M. Antonio-Cruz, Angelica Yosahani Castaneda-Miyamoto

{"title":"A Review on Face Recognition-based Access Control Systems","authors":"M. Garcia-Gomez, M. Antonio-Cruz, Angelica Yosahani Castaneda-Miyamoto","doi":"10.1109/ropec53248.2021.9667991","DOIUrl":"https://doi.org/10.1109/ropec53248.2021.9667991","url":null,"abstract":"This paper presents a review on the state-of-the-art of the access control systems based on face recognition. The review reveals the following: i) More than fifty percent of the related contributions have been published in the last five years. ii) The most used techniques to achieve the face recognition are neural networks, principal component analysis, local binary pattern, and linear discriminant analysis. These techniques have been applied mostly to improve the performance of the recognition accuracy or recognition rate and less for addressing variations in illumination, face spoofing, information security, privacy, face occlusion, computational time, classification performance, small sample size, and recognition with low-resolution images, pose variations, and expression changes. iii) Other several techniques, including Viola-Jones, hidden Markov model, and Gaussian mixture model, have been less used to deal with the aforementioned problems (except recognition with low-resolution images, pose variations, and expression changes) and recognition with retouched or rotated images. iv) New challenges in the face recognition-based control systems appeared due to the occlusion of the faces with masks by COVID-19. Also, open challenges and future work where artificial intelligence could be harnessing are given.","PeriodicalId":174166,"journal":{"name":"2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133499223","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

A Control Strategy for a Power Factor Compensator Based on Double-Inductor Boost Converter 基于双电感升压变换器的功率因数补偿器控制策略

2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2021-11-10 DOI: 10.1109/ropec53248.2021.9668060

S. Iturriaga, P. R. Martínez, D. Langarica, D. Reyes, J. M. Sosa, G. Vázquez

引用次数: 0