2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)最新文献_第10页

A novel identification method based on point cloud data processing technology for quadric surface models 基于点云数据处理技术的二次曲面模型识别新方法

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-05-14 DOI: 10.1109/I2MTC.2018.8409590

Xiaoqiang Tian, L. Kong, D. Kong, Xiaoyu Chen, Shutao Wang

引用次数: 0

Impulsive noise removal in multi-frequency phase sensitive demodulation for electrical impedance tomography 电阻抗层析成像中多频相敏解调中的脉冲噪声去除

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-05-14 DOI: 10.1109/I2MTC.2018.8409529

Zhenhua Hao, Z. Cui, Shihong Yue, Huaxiang Wang

{"title":"Impulsive noise removal in multi-frequency phase sensitive demodulation for electrical impedance tomography","authors":"Zhenhua Hao, Z. Cui, Shihong Yue, Huaxiang Wang","doi":"10.1109/I2MTC.2018.8409529","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409529","url":null,"abstract":"Multi-frequency phase sensitive demodulation plays an important role in electrical impedance tomography (EIT). The phase sensitive detector is an effective tool for discriminating the amplitude and phase of each frequency component signal. It can be considered as the optimal linear filter in case of Gaussian-type noise. In real applications, however, the noise has also rather distinctive impulsive characteristics. It is a challenging task to remove the impulsive noise effectively in multi-frequency phase sensitive demodulation. In this paper, an approach for impulsive noise removal is presented in multi-frequency phase sensitive demodulation, which takes advantage of the periodicity of a multi-frequency signal and the significant properties of the median filter. The current work focuses on the use of two-dimensional (2D) median filter to handle the impulsive noise that existed in the measured signal, i.e. a 2D median filter is employed as the pre-stage signal conditioning module prior to the phase sensitive detector. The main advantages of the proposed method are that: 1) increasing the number of samples within the median filter window, which benefits the consecutive impulsive noise removal, and 2) no additional storage and computational resources are required for hardware system. Two classical methods are selected as comparisons in experiment. Numerical simulations and experimental results demonstrate that the proposed method can effectively eliminate the influence of impulsive noise on multi-frequency phase sensitive demodulation, and is able to achieve outstanding signal-to-noise ratio (SNR) performance.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125367477","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

Rotational speed measurement using a low-cost imaging device and image processing algorithms 采用低成本成像装置和图像处理算法进行转速测量

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-05-14 DOI: 10.1109/I2MTC.2018.8409665

Tianyu Wang, Lijuan Wang, Yong Yan, Shuai Zhang

{"title":"Rotational speed measurement using a low-cost imaging device and image processing algorithms","authors":"Tianyu Wang, Lijuan Wang, Yong Yan, Shuai Zhang","doi":"10.1109/I2MTC.2018.8409665","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409665","url":null,"abstract":"Accurate and reliable measurement of rotational speed is desirable in many industrial processes. A novel method for rotational speed measurement using a low-cost camera and image processing techniques is presented in this paper. Firstly, sequential images are continuously processed using a similarity evaluation method to obtain the periodic similarity level of captured images. Subsequently, the rotational speed is determined from the periodicity of a restructured signal through Chirp-Z transform and parabolic interpolation based auto-correlation, respectively. The measurement principle and system design are presented. The advantages of the proposed measurement system include non-contact measurement, low cost, no markers required and high accuracy. Experimental investigations into the effects of the periodicity detection algorithm, frame rate and image resolution on the accuracy and reliability of the measurement system are conducted on a purpose-built test rig. Experimental results demonstrate that the system with the frame rate of 100 fps yields a measurement error within ±0.6% over a speed range from 100 to 3000 RPM (Revolutions Per Minute). More accurate and reliable speed measurements over a wider speed range are achievable with higher frame rates.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127802340","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

Induction motors fault detection using independent component analysis on phase current signals 基于相电流信号独立分量分析的异步电动机故障检测

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-05-14 DOI: 10.1109/I2MTC.2018.8409827

Juan Enrique Garcia-Bracamonte, J. Rangel-Magdaleno, J. Ramírez-Cortés, P. Gómez-Gil, H. Peregrina-Barreto

引用次数: 3

Gas-water two-phase flow pattern recognition based on ERT and ultrasound Doppler 基于ERT和超声多普勒的气水两相流模式识别

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-05-14 DOI: 10.1109/I2MTC.2018.8409540

Ying Shen, C. Tan, F. Dong, Keith M. Smith, J. Escudero

{"title":"Gas-water two-phase flow pattern recognition based on ERT and ultrasound Doppler","authors":"Ying Shen, C. Tan, F. Dong, Keith M. Smith, J. Escudero","doi":"10.1109/I2MTC.2018.8409540","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409540","url":null,"abstract":"Two phase flow is widely encountered and of high importance in the manufacturing process and related scientific research. The two-phase flow process is complex, and the flow patterns are jointly determined by the phase fraction and the flow rate. The traditional way of studying the flow patterns uses a single sensor, generally sensing one point, to discover and identify the flow patterns. However, these methods lack a comprehensive description from both the phase distribution and flow velocity. Therefore, it is essential to fuse different detection mechanism sensors to investigate the flow patterns in a more comprehensive way. In this work, an electrical resistance tomography (ERT) sensor measures phase fraction and a continuous wave ultrasound Doppler (CWUD) sensor measures velocity of two-phase flow. For the measurement, data of ERT is treated as a multivariate time-series and a method of graph signal processing named Modular Dirichlet Energy (MDE) is adopted to extract features. The results show that the combination of these two sensors can distinguish horizontal gas-water flow well and lays the foundation for the identification of oil-gas-water three-phase flow.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124673980","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

Development of a thermographic image instrument using the raspberry Pi embedded system for the study of the diabetic foot 基于树莓派嵌入式系统的糖尿病足热像仪的研制

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-05-14 DOI: 10.1109/I2MTC.2018.8409841

R. Bayareh, A. Vera, L. Leija, J. Gutiérrez-Martínez

{"title":"Development of a thermographic image instrument using the raspberry Pi embedded system for the study of the diabetic foot","authors":"R. Bayareh, A. Vera, L. Leija, J. Gutiérrez-Martínez","doi":"10.1109/I2MTC.2018.8409841","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409841","url":null,"abstract":"This paper presents the development of an instrument for the gathering of thermographic data for the study of the diabetic foot. The equipment was designed to be a first-front instrument that would allow observing the temperature difference in the sole. This kind of instruments could be used in medical centers, from clinics to research institutes. The prototype was developed with a Raspberry Pi as an embedded system and the Lepton-Flir Development Kit as infrared (IR) sensor. The system generates three files per sample: A thermographic image, a matrix data of the sensor and a thermographic map on Celsius scale. It is intended that the data provided can be analyzed by visual inspection or processed to determine the evolution of treatment and pathology, in such a way that this instrument provides quantitative information represented by a thermographic map. The IR sensor was characterized to measure the superficial temperature of the human skin in a radiometric form. The characteristic equation allows predicting the temperature of each bolometer that constitutes the sensor array. The purpose and relevance of this instrument are to be able to carry out studies of non-ionizing imaging, related to the effects of blood perfusion, which are affected when the patient is detected with diabetes mellitus.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121423296","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

A lift-off revision method for magnetic flux leakage measurement signal 漏磁测量信号的提升修正方法

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-05-14 DOI: 10.1109/I2MTC.2018.8409535

Lisha Peng, Songling Huang, Shen Wang, Wei Zhao

引用次数: 10

Design and implementation of a low cost particulate material transducer 一种低成本微粒材料传感器的设计与实现

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-05-14 DOI: 10.1109/I2MTC.2018.8409523

Ernesto Palo Tejada, Victoria Campos Falcon, E. H. Cayo

引用次数: 0

Embedded chipless RFID measurement methodology for microwave materials characterization 微波材料表征的嵌入式无芯片RFID测量方法

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-05-14 DOI: 10.1109/I2MTC.2018.8409670

Katelyn R. Brinker, R. Zoughi

引用次数: 15

Data analytics and production efficiency evaluation on a flexible manufacturing cell 柔性制造单元的数据分析与生产效率评价

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-05-14 DOI: 10.1109/I2MTC.2018.8409677

F. Giusti, M. Bevilacqua, Stefano Tedeschi, C. Emmanouilidis

{"title":"Data analytics and production efficiency evaluation on a flexible manufacturing cell","authors":"F. Giusti, M. Bevilacqua, Stefano Tedeschi, C. Emmanouilidis","doi":"10.1109/I2MTC.2018.8409677","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409677","url":null,"abstract":"Industry 4.0 is changing the manufacturing landscape towards smart and digital manufacturing. As a result, manufacturing companies will be capable to improve productivity while reducing lead time and costs. Nevertheless, manufacturers' skepticism about the benefits provided by Industry 4.0 still represents a barrier to its diffusion. The aim of this work is to demonstrate how Internet of Things and Analytics technologies can bring benefits regarding remote performance monitoring. The intended aim is achieved through the development of a monitoring system concept and its concrete implementation on a Festo Flexible Mechatronics System (MPS 202), a small-scale automated production line. The integration and connection of various sensors allow data collection and communication to a cloud infrastructure, where data are processed and analyzed. Data analytics can highlight key performance metrics that are visualized and streamed on a dashboard, facilitating the understanding of process conditions. The system generates alarms on mobile devices in case of anomalies in the Festo system, allowing users to immediately realize whether an undesired event is occurring in the system. The monitoring system enhances process performance awareness, as key performance metrics such as productivity, cycle time and parts produced are displayed, the cloud infrastructure enables remote visualization and monitoring. This work aims to demonstrate how the implementation of simple and inexpensive IoT devices represents an efficient way to provide new monitoring capabilities for legacy machines.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128049648","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: 9