Ensembling techniques in solar panel quality classification

Q2 Computer Science

International Journal of Electrical and Computer Engineering Pub Date : 2023-10-01 DOI:10.11591/ijece.v13i5.pp5674-5680

Trong Hieu Luu, Phan Nguyen Ky Phuc, T. Lam, Zhi-qiu Yu, Van Tinh Lam

引用次数: 0

Abstract

Solar panel quality inspection is a time consuming and costly task. This study tries to develop as reliable method for evaluating the panels quality by using ensemble technique based on three machine learning models namely logistic regression, support vector machine and artificial neural network. The data in this study came from infrared camera which were captured in dark room. The panels are supplied with direct current (DC) power while the infrared camera is located perpendicular with panel surface. Dataset is divided into four classes where each class represent for a level of damage percentage. The approach is suitable for systems which has limited resources as well as number of training images which is very popular in reality. Result shows that the proposed method performs with the accuracy is higher than 90%.

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太阳能电池板质量分类中的集成技术

太阳能电池板质量检查是一项耗时且成本高昂的任务。本研究试图在逻辑回归、支持向量机和人工神经网络三种机器学习模型的基础上，利用集成技术开发一种可靠的面板质量评估方法。这项研究中的数据来自于在暗室中拍摄的红外相机。面板由直流（DC）电源供电，而红外相机位于与面板表面垂直的位置。数据集分为四类，每个类代表一个损伤百分比水平。该方法适用于具有有限资源以及在现实中非常流行的训练图像数量的系统。结果表明，该方法的准确率高于90%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Electrical and Computer Engineering Computer Science-Computer Science (all)

CiteScore

4.10

自引率

0.00%

发文量

177

期刊介绍： International Journal of Electrical and Computer Engineering (IJECE) is the official publication of the Institute of Advanced Engineering and Science (IAES). The journal is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. The journal publishes original papers in the field of electrical, computer and informatics engineering which covers, but not limited to, the following scope: -Electronics: Electronic Materials, Microelectronic System, Design and Implementation of Application Specific Integrated Circuits (ASIC), VLSI Design, System-on-a-Chip (SoC) and Electronic Instrumentation Using CAD Tools, digital signal & data Processing, , Biomedical Transducers and instrumentation, Medical Imaging Equipment and Techniques, Biomedical Imaging and Image Processing, Biomechanics and Rehabilitation Engineering, Biomaterials and Drug Delivery Systems; -Electrical: Electrical Engineering Materials, Electric Power Generation, Transmission and Distribution, Power Electronics, Power Quality, Power Economic, FACTS, Renewable Energy, Electric Traction, Electromagnetic Compatibility, High Voltage Insulation Technologies, High Voltage Apparatuses, Lightning Detection and Protection, Power System Analysis, SCADA, Electrical Measurements; -Telecommunication: Modulation and Signal Processing for Telecommunication, Information Theory and Coding, Antenna and Wave Propagation, Wireless and Mobile Communications, Radio Communication, Communication Electronics and Microwave, Radar Imaging, Distributed Platform, Communication Network and Systems, Telematics Services and Security Network; -Control[...] -Computer and Informatics[...]