2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)最新文献_第10页

FPGA implementation of linear combination for single pixel image reconstruction FPGA实现线性组合，用于单像素图像重建

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9460102

Freddy del Angel-Arrieta, C. Morales-Perez, J. Rangel-Magdaleno, R. Ramos-García

引用次数: 1

Multi-sensor Signal Statistical Feature Processing Method for Status Monitoring of Gas-Water Two-Phase Flow in Horizontal Pipe 水平管道气水两相流状态监测的多传感器信号统计特征处理方法

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9460049

Wentao Wu, Shumei Zhang, S. Ren, Feng Dong

{"title":"Multi-sensor Signal Statistical Feature Processing Method for Status Monitoring of Gas-Water Two-Phase Flow in Horizontal Pipe","authors":"Wentao Wu, Shumei Zhang, S. Ren, Feng Dong","doi":"10.1109/I2MTC50364.2021.9460049","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9460049","url":null,"abstract":"As a complex and time-varying nonlinear process, gas-water two-phase flow widely exists in various industries. It has a variety of steady flow statuses and uncertain transition flow statuses. In order to realize accurate monitoring of gas-water two-phase flow status, a method combining Independent Component Analysis (ICA) and Canonical Variable Analysis (CVA) is proposed. Multi-sensor data of gas-water two-phase flow are comprehensively measured. ICA is used to obtain independent components of data. CVA is used to extract flow status canonical features and establish statistical monitoring indicators, which effectively solves the cross-correlation and temporal correlation of multi-sensor data and realizes flow status monitoring. The monitoring indicator limits of flow status are calculated by Kernel Density Estimation (KDE) method. Comparing Wasserstein Distance (WD) of monitoring indicator probability distributions, various flow statuses are analyzed in details to reflect the changing trend of flow status. The method is verified by using the measured data of the horizontal loop of gas-water two-phase flow experimental facility, and its effectiveness is proved.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"57 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":"82877935","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

12.5-m Distance Measurement in High-Interference Environment Using Ultrasonic Array Sensors 超声阵列传感器在高干扰环境下的12.5 m距离测量

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459822

Yukiko Yoshikawa, Yuto Yasuda, T. Ishii, S. Izumi, H. Kawaguchi

引用次数: 5

An experimental device for calibration of concentration and velocity of two-phase flow based on electrical impedance measurement system 一种基于电阻抗测量系统的两相流浓度和流速标定实验装置

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9460020

Jiacheng Wu, Shihong Yue, Haitao Ma

引用次数: 4

A Dual-input Fault Diagnosis Model Based on Convolutional Neural Networks and Gated Recurrent Unit Networks for Analog Circuits 基于卷积神经网络和门控循环单元网络的模拟电路双输入故障诊断模型

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459990

Tianyu Gao, Jingli Yang, Shouda Jiang, Cheng Yang

{"title":"A Dual-input Fault Diagnosis Model Based on Convolutional Neural Networks and Gated Recurrent Unit Networks for Analog Circuits","authors":"Tianyu Gao, Jingli Yang, Shouda Jiang, Cheng Yang","doi":"10.1109/I2MTC50364.2021.9459990","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9459990","url":null,"abstract":"To improve the reliability and safety of complex electrical systems, an end-to-end fault diagnosis method for analog circuits is proposed in this paper. First, by combining the convolutional neural networks (CNN) and the gated recurrent unit (GRU) networks, a feature extraction model based on CNN-GRU is developed to obtain information that characterizes the essential states of the circuit under test (CUT) from the its signals. Compared with traditional feature extraction methods, the CNN-GRU model can obtain the spatial features of signals while retaining the time sequence features. Then, a dual-input structure of the time domain and frequency domain is designed for the CNN-GRU model, and the time-frequency domain fusion features of the signals are obtained by using the dual-input fault diagnosis model based on CNN-GRU, thereby fully reflecting the circuit states. The Sallen-Key bandpass filter circuit in ISCAS'97 circuit set is adopted to comprehensively evaluate the proposed method. Experimental results prove that the proposed fault diagnosis method can implement the accurate identification for incipient single fault classes and double fault classes.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"58 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":"90959988","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: 1

Corrugated Compliant Capacitor towards Smart Bandage Application 面向智能绷带应用的波纹柔性电容器

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459892

Han Liu, S. Laflamme, E. Zellner, S. Bentil, I. Rivero, T. Secord, A. Tamayol

{"title":"Corrugated Compliant Capacitor towards Smart Bandage Application","authors":"Han Liu, S. Laflamme, E. Zellner, S. Bentil, I. Rivero, T. Secord, A. Tamayol","doi":"10.1109/I2MTC50364.2021.9459892","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9459892","url":null,"abstract":"The focus of this study is to characterize a soft elastomeric capacitor (SEC) capable of monitoring large levels of deformation towards smart bandage applications. The SEC is a highly compliant, low cost, and scalable strain gauge, designed to transduce strain into a measurable change in capacitance. Early work on the SEC was conducted on untextured versions, where the dielectric was sandwiched between two flat electrodes. It has been shown that the use of currugated surfaces significantly improves the sensor's sensitivity, linearity, and resolution, and that the sensor could be used to effectively monitor elongation in intact (i.e., unwounded) canine skin. In this paper, work on the SEC technology is extended to evaluate the use of corrugated SEC as a smart bandage capable of monitoring strain and reducing stresses on soft tissue. A series of experimental tests is conducted on two corrugated patterns, namely a reentrant hexagonal honeycomb pattern (auxetic pattern) and a symmetric diagonal grid pattern, to further characterize the signal of the corrugated sensor under various levels of localized strain resembling an opening wound. After, prior numerical investigations on canine skin are extended to study opportunities in leveraging corrugation to improve stress distribution around a wound. Results show that corrugation significantly improves both the signal and stress distribution onto soft tissue, with the auxetic pattern exhibiting best performance, therefore demonstrating the promise of the corrugated SEC as a smart bandage.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"37 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":"91314063","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

Investigation of Bacterial Cellulose-based Fractional Order Element behaviour 基于细菌纤维素的分数阶元素行为研究

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459985

R. Caponetto, G. Pasquale, S. Graziani, E. Murgano, A. Pollicino, C. Trigona

引用次数: 0

Z- and Z-Parameters in Frequency and Time Domain: In accordance with expectations? 频域和时域的Z参数和Z参数:符合预期吗?

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459948

M. Gadringer

引用次数: 1

Multiphase flowrate measurement with time series sensing data and sequential model 多相流量测量的时间序列传感数据和序列模型

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459959

Haokun Wang, Delin Hu, Yunjie Yang, Maomao Zhang

引用次数: 7

“Frequency” and the PMU standard “频率”和PMU标准

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459944

A. Riepnieks, D. Strickland, D. R. White, H. Kirkham

引用次数: 1