2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)最新文献

Degradation prediction and uncertainty quantification for PEMFC using NSGA-optimized deep learning method 基于nsga优化深度学习方法的PEMFC退化预测与不确定性量化

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9460036

Yucen Xie, Jianxiao Zou, C. Peng, Yun Zhu

{"title":"Degradation prediction and uncertainty quantification for PEMFC using NSGA-optimized deep learning method","authors":"Yucen Xie, Jianxiao Zou, C. Peng, Yun Zhu","doi":"10.1109/I2MTC50364.2021.9460036","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9460036","url":null,"abstract":"Reliable degradation prediction of the proton exchange membrane fuel cell (PEMFC) can provide sufficient decision support for its predictive maintenance. However, most prediction methods only focus on the point prediction and do not consider the uncertainty in the degradation prediction. In this paper, an optimized deep learning method with uncertainty quantification is initially proposed for PEMFC degradation prediction. Specifically, the deep learning method based on deep belief network (DBN) and extreme learning machine (ELM) is combined with the lower upper bound estimation method to construct a novel prediction model. It can quantify the PEMFC uncertainty through the established prediction interval (PI). On this basis, the non-dominated sorting genetic algorithm (NSGA) and a novel comprehensive cost function are used to optimize the DBN-ELM performance further. Finally, the performance of the NSGA- DBN-ELM method is verified by measured data, and the experimental results show it can provide not only accurate prediction results but also a highly reliable PI for PEMFC health management.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"39 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":"73735770","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

A UWB-based localization system: analysis of the effect of anchor positions and robustness enhancement in indoor environments 一种基于uwb的定位系统:室内环境下锚点位置和鲁棒性增强的影响分析

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459845

L. Ferrigno, G. Miele, F. Milano, Valentina Pingerna, G. Cerro, M. Laracca

{"title":"A UWB-based localization system: analysis of the effect of anchor positions and robustness enhancement in indoor environments","authors":"L. Ferrigno, G. Miele, F. Milano, Valentina Pingerna, G. Cerro, M. Laracca","doi":"10.1109/I2MTC50364.2021.9459845","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9459845","url":null,"abstract":"Localization in indoor environments is a hard task because of several constraints, both in terms of multiple reflections due to wall and people moving around the localization domain. This is especially due to the communication technologies adopted to perform both ranging and positioning. In this paper, a Ultra Wide Band technology is adopted to perform localization in indoor environment, considering a square domain, by means of three fixed anchors and one mobile node. In specific applications, the object to localize is covered by a metallic shield, e.g, robots, and the localization sensor must be embedded inside the object. In this scenario, the paper proposes to solve three issues: assess nominal performance of UWB localization technology, find a way to approach it in harsh conditions, as the one above specified and a further investigation on optimal anchors' positions in the localization domain to verify sensitivity to specific set-up arrangement. First task is accomplished through an extensive measurement campaign without any obstacle; second one is solved by means of a double calibration procedure estimating anchor-to-anchor distance and online correcting the acquired data. A simulated approach that, starting from on-field measurements, verifies the role of different anchors' positions on the positioning error, completes the investigation.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"93 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":"72780238","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: 7

A Correction Method for Sight Axis of Nonorthogonal Shafting Total Station after Calibration 非正交轴系全站仪视轴标定后的校正方法

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459788

Peng Congcong, Wu Bin, Ma Gaoju, Kang Jiehu

引用次数: 0

Efficient selection of time domain features for leakage detection in pipes carrying liquid commodities 液体管道泄漏检测时域特征的有效选择

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459811

G. Glentis, K. Georgoulakis, Kostas Angelopoulos

引用次数: 3

Resistance measurements of polydimethylsiloxane (PDMS) stretch-sensors embedded with a conductive gel 嵌入导电凝胶的聚二甲基硅氧烷(PDMS)拉伸传感器的电阻测量

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9460011

G. Olson, C. Davies, G. S. Gupta, Rose Davies, L. Fullard

引用次数: 1

Planar MIT Sensor Array with Gradiometers for Local Hemorrhage Detection 基于梯度计的平面MIT传感器阵列局部出血检测

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459956

Yixuan Chen, C. Tan, Feng Dong, Shu Zhao

{"title":"Planar MIT Sensor Array with Gradiometers for Local Hemorrhage Detection","authors":"Yixuan Chen, C. Tan, Feng Dong, Shu Zhao","doi":"10.1109/I2MTC50364.2021.9459956","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9459956","url":null,"abstract":"Magnetic induction tomography (MIT) is a promising technology in medical imaging due to its non-radioactive, non-invasive and non-contact properties. To realize the local detection of intracranial hemorrhage with small volume, a planar MIT sensor array with gradiometers is proposed. The local sensitive region was defined and the sensitivities of the planar array with gradiometers and the planar array with Bx sensors were compared. With 3D anatomical head model, the phase response of the hemorrhages in different volumes under the two sensor arrays was investigated. The evaluation indexes: sensitivity intensity A and useful signal to background signal ratio UBR were introduced for evaluating the performance of the sensor arrays in hemorrhage detection. In the local sensitive region, the sensitivity intensity of the planar sensor array with gradiometers is 3 times larger than the Bx sensors. Furthermore, for the 2 mL hemorrhage, the UBR under the structure of gradiometers is 6 times larger than that under the structure of Bx sensors. The results indicate that the planar sensor array with gradiometers can effectively reduce the effect of normal head tissues and improve the accuracy in hemorrhage detection.","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":"84514228","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: 2

Robotic Installation of Wireless Strain Gauges into Precast Concrete Elements 无线应变计在预制混凝土构件中的机器人安装

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459824

Tresor Tshimbombo, M. Perry, C. Hoy, E. Tzoura, C. Vlachakis, J. McAlorum

引用次数: 4

Compensation of Systematic Measurement Errors in PMU-based Monitoring Systems for Transmission Grids 基于pmu的输电网监测系统测量误差补偿

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459863

C. Muscas, P. Pegoraro, C. Sitzia, Antonio Vincenzo Solinas, S. Sulis

引用次数: 0

An FPGA-Based Low Latency AWG for Superconducting Quantum Computers 基于fpga的超导量子计算机低延迟AWG

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9460084

Yuchen Yang, Z. Shen, Xing Zhu, Chunqing Deng, Shubin Liu, Q. An

{"title":"An FPGA-Based Low Latency AWG for Superconducting Quantum Computers","authors":"Yuchen Yang, Z. Shen, Xing Zhu, Chunqing Deng, Shubin Liu, Q. An","doi":"10.1109/I2MTC50364.2021.9460084","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9460084","url":null,"abstract":"This paper reports the development of a low-latency arbitrary waveform generator (AWG), which is suitable for the control and measurement of superconducting quantum computers. It can generate qubit control signals and measurement signals in real time. Compared with commercial AWG, our AWG has less latency and higher analog bandwidth. Compressing latency can reduce system feedback time, and higher analog bandwidth improves the system's integration by mounting more qubits on the readout line. The AWG integrates four high-speed digital-to-analog converters (DACs), phase-locked loop (PLL) circuits, field-programmable gate arrays (FPGAs), and related circuits into a standard PXI 3U board. The waveform generator module, communication interface module, clock module, and configuration module are realized utilizing the FPGA. The FPGA-based hardware architecture enables AWG to be flexibly configured to meet the various needs of quantum experiments. The four-channel AWG has a 2-GSa/s sampling rate, a 14-bit resolution, and 500 MHz bandwidth. The jitter in the AWG output waveform is approximately 3 ps; the latency of the AWG (the time from the feedback trigger received until a feedback pulse is generated) is approximately 55 ns. These designs form the basis of realizing control system for large-scale quantum computing.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"13 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":"81249371","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

Improving Broadband Emission-Based Soot Pyrometry Using Convolutional Neural Networks 基于卷积神经网络改进宽带发射烟灰热测量

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9460106

A. Rodríguez, J. Portilla, J. J. Cruz, F. Escudero, R. Demarco, A. Fuentes, G. Carvajal

{"title":"Improving Broadband Emission-Based Soot Pyrometry Using Convolutional Neural Networks","authors":"A. Rodríguez, J. Portilla, J. J. Cruz, F. Escudero, R. Demarco, A. Fuentes, G. Carvajal","doi":"10.1109/I2MTC50364.2021.9460106","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9460106","url":null,"abstract":"Broadband Emission (BEMI) pyrometry is a low-cost technique for indirect characterization of soot temperature fields in laboratory flames using images captured with an RGB camera. However, retrieving temperature from color images through classical deconvolution techniques requires solving ill-posed inverse problems, producing results that are highly sensitive to signal noise and the choice of regularization parameters. This paper proposes using Convolutional Neural Networks (CNNs) to improve the accuracy of estimated 2D soot temperature fields from images of canonical axisymmetric laminar flames. Using a dataset of physically-grounded simulated images of temperature fields in the flame and their corresponding convoluted projections in the camera plane, we trained a CNN to learn the relationship between the reference temperature and the measured signals. Experiments over simulated and experimental images show that the trained CNN outperforms classical inversion methods when retrieving temperature from noisy images, especially in areas of interest such as the center of the flame. Resilience to noise makes CNNs attractive for implementing low-cost techniques for soot pyrometry using equipment of different quality.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"12 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":"78355976","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: 2