2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)最新文献_第4页

Measurement of Synchrophasors with Stand Alone Merging Units: a Preliminary Study 用独立合并装置测量同步相量的初步研究

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9460086

P. Castello, A. D. Femine, D. Gallo, M. Luiso, C. Muscas, P. Pegoraro

{"title":"Measurement of Synchrophasors with Stand Alone Merging Units: a Preliminary Study","authors":"P. Castello, A. D. Femine, D. Gallo, M. Luiso, C. Muscas, P. Pegoraro","doi":"10.1109/I2MTC50364.2021.9460086","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9460086","url":null,"abstract":"Power grids must be more and more capable of adapting to a range of sometimes rapidly fluctuating conditions, originating by both fast variations of absorbed and generated power, especially from renewable sources. The implementation of substation automation is rapidly increasing, fostered by the “digitalization” of the substations themselves. In this context, where voltage and current Instrument Transformers (ITs) have digital output or their output is digitized by the Stand Alone Merging Units (SAMUs), the natural evolution of a Phasor Measurement Unit is to become all-digital, that is not to have analog input but to process directly the Sampled Values (SVs) to extract the desired quantities. However, since these instruments can be used to implement critical tasks for the power system (stability control, remote diagnostics and so on) it is very important to assure the accuracy of the measurements. Therefore, this paper presents the results of a preliminary study where the performance of a PMU implemented using the SVs from a commercial SAMU are experimentally tested in various test conditions suggested or inspired by the international standards.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"96 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74638090","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

Design of on Board X-Band Data Transmission System of SVOM Mission SVOM任务星载x波段数据传输系统设计

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459853

Yuanyuan Dai, Yang Liu, Shunjing Yu, Haiying Hu, Zongde Li, Haichen Wu

引用次数: 0

An Advanced PV Simulation Model for Electric Vehicles with Photovoltaic Installations 一种带有光伏装置的电动汽车的先进PV仿真模型

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9460062

C. Schuss, B. Eichberger, T. Fabritius

引用次数: 3

Multi-State Appliances Identification through a NILM System Based on Convolutional Neural Network 基于卷积神经网络的NILM系统多状态器具辨识

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9460038

G. Bucci, F. Ciancetta, E. Fiorucci, S. Mari, A. Fioravanti

{"title":"Multi-State Appliances Identification through a NILM System Based on Convolutional Neural Network","authors":"G. Bucci, F. Ciancetta, E. Fiorucci, S. Mari, A. Fioravanti","doi":"10.1109/I2MTC50364.2021.9460038","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9460038","url":null,"abstract":"Electrical loads have a unique energy consumption pattern, often referred to as a “signature”, which allows disaggregation algorithms to distinguish and recognize the operations of different users from aggregate load measurements. Both in the case of civil users and in that of commercial and industrial users, the presence of multi-state appliances is extremely common. The disaggregation algorithms must be able to correctly identify the consumption patterns of such devices from the aggregate load measurements. In this paper we will illustrate a NILM algorithm, based on a convolutional neural network, able to identify the electrical loads connected to a house, starting only from the measurement of the total electrical current. Furthermore, the algorithm provides information on events in real time through a process of simultaneous detection and classification of them, without having to perform a double processing, thus reducing calculation times. Then we will focus on the algorithm's ability to manage multi-state devices, analyzing a specific case and commenting on the possibilities of the system.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"25 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84770392","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: 6

Testing of an Ultrasonic Thermometer Developed at the Idaho National Laboratory 爱达荷国家实验室研制的超声波温度计的测试

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459867

J. Daw, Lance A. Hone, K. Woodbury

引用次数: 1

A Fractional-Order PID Controlled Iterative Calderon's Method for Electrical Capacitance Tomography 电容层析成像的分数阶PID控制迭代卡尔德隆方法

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459887

Yu Tian, Z. Cao, Die Hu, Xin Gao, Lijun Xu

{"title":"A Fractional-Order PID Controlled Iterative Calderon's Method for Electrical Capacitance Tomography","authors":"Yu Tian, Z. Cao, Die Hu, Xin Gao, Lijun Xu","doi":"10.1109/I2MTC50364.2021.9459887","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9459887","url":null,"abstract":"Electrical capacitance tomography (ECT) is a technique that uses image reconstruction algorithms to reconstruct permittivity distributions in the region of interest (ROI) with capacitances measured at the boundary of ROI. In this paper, a closed-loop iterative reconstruction algorithm is proposed, and it aims to eliminate the error between the measured capacitances and recuperative capacitances, and in this way, the quality of the reconstructed images is improved. The proposed algorithm includes three parts, namely, Fractional-order Proportional Integral Derivative (FPID) controller, Calderon's method, and a fast-solving forward method for numerical simulated capacitances in ECT. The error to be eliminated is the difference between measured capacitances and the simulated capacitances and is input to the FPID controller. When the coefficients in the FPID controller are determined, the output of controller is used to reconstruct permittivity distribution in the Calderon's method. Reconstructed image provides simulated capacitances as an updating reference for measured capacitances for the iterative reconstructions. Both noise-free and noisy data are used and verified the feasibility and effectiveness of the proposed algorithm for ECT.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"154 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79760614","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 Microcontroller based Charge Balanced Trapezoidal Stimulus Generator for FES System 基于单片机的FES系统电荷平衡梯形刺激发生器

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459837

Bijit Basumatary, R. Halder, A. Sahani

引用次数: 0

Regression applied to measure normalized difference vegetation index in soybean images with visible color spaces collected by smartphones 应用回归方法对智能手机采集的具有可见色彩空间的大豆图像进行归一化植被指数差分测量

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459862

Murilo Caminotto Barbosa, A. C. Pádua, Deryk Sedlak Ribeiro, A. S. Felinto, L. H. Fantin, M. G. Canteri

{"title":"Regression applied to measure normalized difference vegetation index in soybean images with visible color spaces collected by smartphones","authors":"Murilo Caminotto Barbosa, A. C. Pádua, Deryk Sedlak Ribeiro, A. S. Felinto, L. H. Fantin, M. G. Canteri","doi":"10.1109/I2MTC50364.2021.9459862","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9459862","url":null,"abstract":"The leaf area is an indicator of the plant's health and predicted yield production. The normalized difference vegetation index (NDVI) is the most used measure to evaluate leaf area and health. The study aimed to create a model able to calculate the NDVI from common RGB images collected by smartphones in the field through artificial intelligence techniques. A total of 99 Soybean experimental samples were analyzed by portable equipment GreenSeeker model RT100 from NTech radiometer and image acquired by smartphone positioned upright. NDVI was calculated with radiometer absorbance value. The images were initially preprocessed and then pixel information was submitted to Simple Linear, Multiple Linear, Isotonic, Rhythm Regression, Additive, and Linear Regression of Least Median of Squares models. The models tested achieved between 93,75% and 97,11% of correlation with data collected with a radiometer. The Multiple Linear Regression model that best described the leaf area. The soybean leaf area can be easily evaluated by smartphones with distortion corrections and models adjusted to NDVI.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"40 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80546353","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 Switched-Capacitor CVC and CFC for Capacitive Sensors Representable using $pi$-Model 用$pi$-模型表示的电容式传感器的开关电容CVC和CFC

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459993

Pinku Sebastian, P. NarayananP., Sreenath Vijayakumar

{"title":"A Switched-Capacitor CVC and CFC for Capacitive Sensors Representable using $pi$-Model","authors":"Pinku Sebastian, P. NarayananP., Sreenath Vijayakumar","doi":"10.1109/I2MTC50364.2021.9459993","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9459993","url":null,"abstract":"In this paper, a new Capacitance-to-Voltage Converter (CVC) and Capacitance-to-Frequency Converter (CFC) for capacitive $pi$-model are presented. A simple and effective closed-loop mechanism is proposed that provides the output voltage and frequency proportional to the sensor capacitances in the $pi$-model. The proposed feedback mechanism ensures that the linearity performance of the converter is not affected by the non-linearity of the elements in the forward path. A $pi$-model capacitor comprises of three capacitances, $C_{x2}$: the capacitance formed between the electrodes and $C_{x1}$ and $C_{x3}$: capacitance between each electrode and ground. Such $pi$-model representation is very effective in sensing the relative position of the measurand (by measuring $C_{x1}$ and $C_{x3}$) in addition to the measurand detection (from capacitance $C_{x2}$). The proposed switched-capacitor based converter uses only DC source for excitation and hence achieve high accuracy measurements. A prototype has been developed and verified the practicality of the converter for sensor capacitance ranges from 20 pF to 200 pF. The worst-case linearity error of 3.5% was observed when operated in open-loop configuration, and the error reduced to 0.28% when operated in the proposed feedback configuration. The developed prototype exhibited negligible cross-sensitivity between the capacitance measurement in the $pi$-model and can provide the best measurement rate compared to the existing architectures of capacitive $pi$-models.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"100 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80591774","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

Performance Assessment Framework for Electrical Capacitance Tomography Based Mass Concentration Estimation in Pneumatic Conveying Systems 基于电容层析成像的气力输送系统质量浓度估计的性能评估框架

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459986

T. Suppan, M. Neumayer, T. Bretterklieber, H. Wegleiter, S. Puttinger

{"title":"Performance Assessment Framework for Electrical Capacitance Tomography Based Mass Concentration Estimation in Pneumatic Conveying Systems","authors":"T. Suppan, M. Neumayer, T. Bretterklieber, H. Wegleiter, S. Puttinger","doi":"10.1109/I2MTC50364.2021.9459986","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9459986","url":null,"abstract":"Pneumatic conveying is used in various industrial fields for the transportation of bulk materials. Reliable flow meters are of high interest for the efficient operation and control of such systems. Electrical capacitance tomography (ECT) is a promising technique for flow measurements in pneumatic conveying systems. Several publication demonstrated the basic applicability of ECT for this measurement task. This work in contrast aims for a systematic performance assessment of ECT based mass concentration estimation, which is a crucial parameter for the determination of the mass flow rate. A holistic model of the measurement process is presented and a measurement procedure is proposed to validate the model with stationary material distributions. The validated framework gives access to statistical estimation error analyses for various pneumatic conveying flow conditions. The presented framework is a practical tool for the development and improvement of ECT based flow meters as it enables analyses of different measurement setups to an extend, that would be difficult to achieve by means of measurement experiments on test rigs only.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83425990","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: 6