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2021 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS)最新文献

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Wind Turbine Condition Monitoring Based on Autoencoder and K-means 基于自编码器和k均值的风电机组状态监测
Miaoquan Han, Zheng Qian, Bo Jing, Siyu Zhu, Fanghong Zhang
Wind turbine condition monitoring (WTCM) is important to reduce the operation and maintenance cost of wind turbine. This paper proposes a WTCM approach based on autoencoder (AE) and K-means cluster. After data preprocessing, we firstly build an AE model with long short-term memory layer, and the construction of the model is determined by cross-validation experiment. Use the bottleneck layer of the AE model as the feature vector and establish the feature vector space of normal data. Secondly, the K-means cluster is employed. We gather the features of normal data into a cluster, then the cluster center and Euclidian distance are used to set the threshold. Thirdly, obtain the feature of testing data and calculate the Euclidian distance between the feature and the cluster center of normal data. The calculated Euclidian distance is used as the evaluation basis. Two cases with typical faults have been studied to demonstrate the feasibility of the proposed method.
风力机状态监测是降低风力机运行维护成本的重要手段。提出了一种基于自编码器(AE)和k均值聚类的WTCM方法。在对数据进行预处理后,首先构建具有长短期记忆层的声发射模型,并通过交叉验证实验确定模型的构建。以声发射模型的瓶颈层为特征向量,建立正常数据的特征向量空间。其次,采用K-means聚类。我们将正常数据的特征集合成一个聚类,然后利用聚类中心和欧氏距离来设置阈值。第三,获取测试数据的特征,计算特征与正常数据聚类中心之间的欧氏距离。计算得到的欧氏距离作为评价依据。通过两个典型故障实例的分析,验证了该方法的可行性。
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引用次数: 0
Determination of Effective Radio Frequency Monitoring Locations Using Fuzzy-Analytical Hierarchy Process 利用模糊层次分析法确定射频监测有效位置
Gede Eka Cahyadi, G. Sukadarmika, Y. Divayana, Nyoman Putra Sastra
Determining the optimum location to monitoring the radio frequency spectrum requires a complex consideration. Several considerations including topography, accessibility, population density, residential areas, distribution of radiofrequency spectrum users, high voltage power lines, and Transmitter power level. This study evaluates all consideration parameters using a Fuzzy Analytical Hierarchy Process (F-AHP). The optimum locations which were founded based on the F_AHP analytical are shown on the map using the Web Geographic Information System (WebGIS). The research was conducted in the Bali Province area. The display via WebGIS indicates three categories of suitability, namely: "high", "medium", and "low". Meanwhile, based on the analysis of the effect of consideration for determining the location, it was found that the distribution of radiofrequency spectrum users had the highest weight of 49.1%, then followed by the accessibility of 30.1%, residential area of 9.7%, the topography of 6.5%, and the population 4.6%.
确定监测无线电频谱的最佳位置需要复杂的考虑。几个考虑因素包括地形,可达性,人口密度,住宅区,频谱用户分布,高压电力线和发射机功率水平。本研究使用模糊层次分析法(F-AHP)评估所有考虑参数。利用网络地理信息系统(WebGIS)将基于F_AHP分析法确定的最优位置显示在地图上。研究是在巴厘省地区进行的。通过WebGIS显示的适宜性分为三类,即“高”、“中”、“低”。同时,通过对选址考虑因素的影响分析,发现频谱用户的分布权重最高,为49.1%,其次是可达性(30.1%)、居住面积(9.7%)、地形(6.5%)和人口(4.6%)。
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引用次数: 0
Performance analysis of artificial leg robot movement with PID control 基于PID控制的人工腿机器人运动性能分析
W. Widhiada, I. K. A. Admika, I. Suryawan
The Artificial Leg Robot (ALR) is a tool that serves as a substitute for lower limbs for people who have limitations due to congenital defects or amputations. PID control is installed to reduce maximum overshoot, steady-state error, and settle time to produce a more responsive, accurate, and optimal bionic footwork. ALR device uses an Arduino Mega 2560 microcontroller with programming software using Matlab/Simulink R2020a and uses a myoware sensor. The function of the sensor on the bionic foot is to give a signal to the controller so that the DC motor moves at an angle between 0o-60o and vice versa, referring to the gate cycle concept. The PID control simulation results shown a maximum overshoot value of 2.35%, a steady-state error of 0.0285%, and a settling time of 4.01 s. The results of the PID control experiment shown a maximum overshoot value of 0%, a steady-state error of 2.565%, and a settling time of 4.449 s.
人工腿机器人(Artificial Leg Robot,简称ALR)是一种为因先天缺陷或截肢而受到限制的人提供替代下肢的工具。安装了PID控制以减少最大超调,稳态误差和稳定时间,以产生更灵敏,准确和最佳的仿生步法。ALR设备使用Arduino Mega 2560单片机,使用Matlab/Simulink R2020a编程软件,并使用myware传感器。仿生脚上传感器的作用是给控制器一个信号,使直流电机在0 -60度之间的角度运动,反之亦然,参考门周期概念。PID控制仿真结果表明,最大超调值为2.35%,稳态误差为0.0285%,稳定时间为4.01 s。PID控制实验结果表明,最大超调值为0%,稳态误差为2.565%,稳定时间为4.449 s。
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引用次数: 0
Carrier Based PWM Methods of Dual Cascaded Inverter for Solar Power Plant Solid State Transformer 基于载波的太阳能电站固态变压器双级联逆变器PWM方法
I. N. Satiawan, I. Citarsa, I. M. B. Suksmadana, P. K. Ray
A new structure of solid state transformer (SST) for grid connected solar power plant is introduced in this paper. The SST utilizes dual cascaded multi-level inverter configuration. This paper investigates the performance of various PWM methods for the proposed SST. The dual cascaded inverter is controlled by using carrier based PWM methods, i.e Phase Shifted PWM, Level Shifted PWM and its variations. Simulation results show that the Overlapping Carrier (OC)-PWM method generates the highest fundamental component in the output. The Phase Disposition (DP)-PWM produces the best quality output voltage with the lowest value of THD (16,92%) among the PWM methods while the PS-PWM method provides the worst THD (39,41%). However, after filtering, the PS-PWM method generates the most sinusoidal waveform that indicates by significant improvement in the value of THD (0.029%). The PS-PWM is able to remove the low order harmonics better and send them into the around 4 kHz and it side band which is twice of the applied switching frequency (2 kHz).
介绍了一种用于并网太阳能电站的新型固态变压器结构。SST采用双级联多级逆变器配置。本文研究了各种PWM方法对所提出的SST的性能。双级联逆变器采用基于载波的PWM控制方法,即移相PWM、移电平PWM及其变体。仿真结果表明,重叠载波(OC)-PWM方法在输出中产生最高的基波分量。在PWM方法中,相位配置(DP)-PWM产生的输出电压质量最好,THD值最低(16.92%),而PS-PWM方法的THD值最差(39.41%)。然而,PS-PWM方法经过滤波后产生的波形最正弦波,表明THD值显著提高(0.029%)。PS-PWM能够更好地去除低阶谐波,并将它们发送到大约4 kHz和它的边带,这是应用开关频率(2 kHz)的两倍。
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引用次数: 0
ICSGTEIS 2021 Author Index ICSGTEIS 2021作者索引
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引用次数: 0
Impact of Covid-19 Pandemic on Electricity Consumption and Nighttime Lights Based on NPP-VIIRS DNB Image Products 基于NPP-VIIRS DNB图像产品的新冠肺炎疫情对用电量和夜间照明的影响
A. As-syakur, W. G. Ariastina, I. Kumara, I. M. O. Guna Antara, T. Osawa, D. A. N. Cahyani
This paper discusses an early investigation of the impact of the Covid-19 on the socio-economic activities by using the electricity consumption and the satellite nighttime light approach. This method was implemented in the island of Bali, a well-known tourism destination. The electricity consumption trend was investigated during a period of 2019-2020 and the result then was confirmed with the satellite image of nighttime light. The analysis results have shown that the declined electricity energy usage correlates with the reduced brightness level of the night time light. It was also found that the night time light image (NTL) from remote sensing data has successfully determined the areas with a significantly decreased socio-economic activities. In contrast, the image has also uncovered some areas with an increased in night time light brightness, which indicates an increased in socio-economic activities.
本文利用电力消耗和卫星夜间照明方法,讨论了Covid-19对社会经济活动影响的早期调查。这种方法在著名的旅游胜地巴厘岛实施。对2019-2020年期间的用电量趋势进行了调查,并利用卫星夜光图像对结果进行了验证。分析结果表明,电能使用量的下降与夜间照明亮度水平的降低有关。还发现,遥感数据的夜间光像(NTL)成功地确定了社会经济活动明显减少的地区。相比之下,该图像还揭示了一些夜间光线亮度增加的地区,这表明社会经济活动增加。
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引用次数: 1
EEG Study of Dasa Aksara Yoga and Improved Focus on Distance Learning Student 大瑜伽与远程学习学生注意力提高的脑电图研究
I. P. K. Udayana, M. Sudarma, I. Putra, I. Sukarsa
The pandemic prevention measure of social distancing makes Indonesia higher Education system undergo a rapid transformation of distance learning. However, the sudden changes also come with its own unique problem The effectiveness of online learning as a medium of study is an old debate among academia. The approach's effectiveness varies from field to field and from one experiment to another. One problem that seems consistent among the research is fluctuating attention among participants. This research explore the potential to use of an ancient Balinese breathing technique known as Dasa Aksara pranayama. This technique that combines the visualization technique and the breathing exercise has existed since the mid-nineteen century and was developed by Balinese monks. This research wants to gather the empirical evidence of the benefit of the technique using EEG monitoring and machine learning. We do a comparative study between the one group which is not receive the dasa aksara meditation treatment and another group which receive one. The end of the result concludes that the breathing technique succeeded to improve the attention level of the participant on average of 22.85% and the software is well received among the participant with the result of usability testing yield average point of 3.65 on a scale of 4.
保持社交距离这一流行病预防措施使印尼高等教育系统经历了远程教育的快速转型。然而,这种突如其来的变化也带来了其独特的问题,在线学习作为一种学习媒介的有效性是学术界长期争论的问题。该方法的有效性因不同的领域和不同的实验而异。研究中似乎一致的一个问题是参与者的注意力波动。这项研究探索了一种古老的巴厘岛呼吸技术,称为Dasa Aksara调息法。这种结合了观想技巧和呼吸练习的技巧自十九世纪中期以来就存在了,是由巴厘岛的僧侣开发的。本研究旨在收集利用脑电图监测和机器学习技术的经验证据。我们做了一项比较研究,在一组没有接受大轮回冥想治疗和另一组接受了大轮回冥想治疗之间。最后得出结论:呼吸技巧成功地提高了参与者的注意力水平,平均提高了22.85%,参与者对软件的接受度较高,可用性测试结果平均得分为3.65分(满分为4分)。
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引用次数: 2
ICSGTEIS 2021 TOC
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引用次数: 0
The Development of Laboratory-Scale Oscillating Water Column OWC Test Rig with Real-Time Data Monitoring System 具有实时数据监控系统的实验室规模振荡水柱OWC试验台的研制
N. Hiron, I. Giriantari, L. Jasa, I. Kumara
Oscillating water column (OWC) with vertical axis wind turbine (VAWT) involves extracting ocean waves into electrical energy. To know the performance of OWC with VAWT in depth requires a complex monitoring system. This article focuses on two discussions. The first is manufacturing the laboratory-scale OWC test rig, and the second is developing and validating the real-time monitoring system for the purpose-built OWC system. The monitoring system we proposed was consists of the sensors unit, MCU, and monitoring unit. The sensor unit is placed in certain parts of the test rig. And then, the measurement variables include wave oscillations, water surface oscillations in the chamber, rotation of the Savonius turbine in the OWC, air pressure in the chamber. The data acquisition uses the Arduino-Uno with graphics interface using the LabVIEW program. The test rig and the monitoring system have been successfully developed and tested on the OWC prototype with laboratory-scale VAWT. OWC and turbine performance measurement data have been successfully displayed in an interactive form and stored in data logging on a computer.
垂直轴风力发电振荡水柱(OWC)是一种将海浪转化为电能的发电技术。要深入了解带VAWT的OWC性能,需要一个复杂的监测系统。本文主要讨论两个问题。第一阶段是制造实验室规模的OWC试验台,第二阶段是开发和验证专用OWC系统的实时监控系统。本文提出的监控系统由传感器单元、单片机和监控单元组成。传感器单元放置在试验台的某些部分。然后,测量变量包括波浪振荡,室中水面振荡,OWC中Savonius涡轮的旋转,室中的空气压力。数据采集采用带有图形界面的Arduino-Uno,使用LabVIEW程序。试验台和监测系统已研制成功,并在实验室规模的VAWT上进行了测试。OWC和涡轮性能测量数据已成功地以交互形式显示并存储在计算机的数据记录中。
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引用次数: 0
The E3A Framework: Assessment Of Energy Availability, Accessibility & Acceptability at the Provincial Level in Indonesia E3A框架:印度尼西亚省级能源可用性、可及性和可接受性评估
M. Retnanestri, H. Outhred
The E3A Framework (Energy Availability, Accessibility and Acceptability) is used to assess the energy sector performance of the 34 Indonesian provinces. This illustrates how the E3A framework can be used as a diagnostic tool and to formulate strategies to improve energy sector performance at provincial and national level.
E3A框架(能源可获得性、可获得性和可接受性)用于评估印尼34个省的能源部门绩效。这说明了如何将E3A框架用作诊断工具,并制定战略,以提高省和国家一级的能源部门绩效。
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引用次数: 0
期刊
2021 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS)
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