2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)最新文献

Improved interpolated dynamic DFT synchrophasor estimator considering second harmonic interferences 考虑二次谐波干扰的改进内插动态DFT同步相量估计

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-07-12 DOI: 10.1109/I2MTC.2018.8409744

Lei Chen, Wei Zhao, Yiqing Yu, Qing Wang, Songling Huang

引用次数: 6

Measurement of the void fraction of gas-liquid two-phase CO2 flow using laser attenuation techniques 用激光衰减技术测量气液两相CO2流的空隙率

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-07-12 DOI: 10.1109/I2MTC.2018.8409828

Quansheng Duan, Junxiang Peng, Lijuan Wang, Yong Yan

引用次数: 2

Development of a new EMAT for multi-helical SH guided waves based on magnetostrictive effect 基于磁致伸缩效应的多螺旋SH导波EMAT的研制

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-07-12 DOI: 10.1109/I2MTC.2018.8409576

Zhe Wang, Songling Huang, Shen Wang, Qing Wang, Wei Zhao

引用次数: 1

Investigations into the behaviours of Coriolis flowmeters under air-water two-phase flow conditions on an optimized experimental platform 在优化的实验平台上研究了科氏流量计在空气-水两相流条件下的性能

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-07-12 DOI: 10.1109/I2MTC.2018.8409681

Jinyu Liu, Tao Wang, Yong Yan, Xue Wang, Lijuan Wang

{"title":"Investigations into the behaviours of Coriolis flowmeters under air-water two-phase flow conditions on an optimized experimental platform","authors":"Jinyu Liu, Tao Wang, Yong Yan, Xue Wang, Lijuan Wang","doi":"10.1109/I2MTC.2018.8409681","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409681","url":null,"abstract":"Gas-liquid two-phase flow is commonly encountered in many industrial processes due to production requirement or inevitable gas entrainment from various sources. Accurate liquid phase measurement under two-phase conditions is challenging but important as it is the key factor to reduce cost, improve safety or meet legal requirements. Coriolis flowmeters, owing to their high accuracy in metering single-phase flow, direct mass flow measurement and multivariable sensing nature, are widely used in industry. Recently developed Coriolis flowmeters can work under multiphase conditions, making it possible to achieve accurate multiphase flow measurement through model based error compensation or training based soft computing correction. This paper assesses the behaviours of Coriolis flowmeters under various two-phase conditions for modelling and soft computing algorithm improvement, including previously investigated factors (flowrate, gas volume fraction, flow tube geometry, flow converter, and process pressure) and new factors (flow regimes in terms of bubble size and distribution). Experimental work was conducted on 25 mm and 50 mm bore air-water two-phase flow rigs for liquid mass flowrates between 2500 kg/h and 35000 kg/h with gas volume fraction of 0–60%. With the influence of each factor identified through univariate analysis, comparisons between existing modelling theories and experimental error curves are established. In the meantime, the rig design and control are optimized to provide efficient and automated data acquisition in order to supply ample and high-quality data for the training of soft computing models as well as enhancing the understanding in theoretical modelling.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"85 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133824209","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

A low cost master and slave distributed intelligent meter for non-intrusive load classification and anomaly warning 一种低成本主从分布式智能仪表，用于非侵入式负荷分类和异常预警

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-07-12 DOI: 10.1109/I2MTC.2018.8409566

Y. Quek, W. L. Woo, T. Logenthiran

{"title":"A low cost master and slave distributed intelligent meter for non-intrusive load classification and anomaly warning","authors":"Y. Quek, W. L. Woo, T. Logenthiran","doi":"10.1109/I2MTC.2018.8409566","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409566","url":null,"abstract":"In the recent years, there is a growing need for remote monitoring of electrical systems to assist users in making informed decision in managing their electrical systems. On top of the energy consumption and power usage, it is very useful to provide users fault detections, anomaly warnings and classification of load for predictive maintenance. This paper describes a low-cost solution that consists of multiple distributed slave meters with a single master computer. The distributed slave meter acquires the current waveform from the investigated cable of interest with non-intrusive current transducer. The low-cost hardware and small computer conditioned the data and extract a 2-feature data that will be send to the master computer remotely over Wi-Fi network. The master computer identifies each slave meters by their IP addresses and will perform logging, high level processing for classification, fault detection and anomaly warning. This solution can be implemented as a distributed monitoring network over a number of circuits in a building or vicinity, with the option of expanding into an Internet of Things (IoT) implementation. It can also be used as an ad hoc standalone investigation of a suspicious branch circuit for faults or anomalies. This solution has been tested with lighting, thermal and motor loads in an electrical circuit.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133236184","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

Real-time tensor polynomial approximation of crosshatch measured geometric surface data 实时张量多项式逼近交叉线测量几何表面数据

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-07-10 DOI: 10.1109/I2MTC.2018.8409531

M. Harker, P. O’Leary, L. Plessing, P. Hergan, E. Fauster

引用次数: 0

Surface profiling measurement using varifocal lens based on focus stacking 基于聚焦叠加的变焦透镜表面轮廓测量

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-07-10 DOI: 10.1109/I2MTC.2018.8409820

Chen-Liang Fan, C. Weng, Yu-Hsin Lin, P. Cheng

引用次数: 2

Ion current measurement for parameter estimation in small two stroke engines 小型二冲程发动机参数估计的离子电流测量

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-07-10 DOI: 10.1109/I2MTC.2018.8409624

G. Gruber, B. Schweighofer, G. Brasseur, Riccardo Basso

引用次数: 2

On research of incipient gear pitting fault detection using optic fiber sensors 基于光纤传感器的初齿点蚀故障检测研究

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-07-10 DOI: 10.1109/I2MTC.2018.8409559

Yongzhi Qu, Haoliang Zhang, Liu Hong, Chongfeng Zhao, Yuegang Tan, Zude Zhou

{"title":"On research of incipient gear pitting fault detection using optic fiber sensors","authors":"Yongzhi Qu, Haoliang Zhang, Liu Hong, Chongfeng Zhao, Yuegang Tan, Zude Zhou","doi":"10.1109/I2MTC.2018.8409559","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409559","url":null,"abstract":"Fiber Bragg grating has been widely used in structural health monitoring due to the following merits: robust to electromagnet interference, multipoint distributed measurements, easy to embed in limited space, and less wire compared with electric strain sensors. In this paper, optic fiber sensors — fiber Bragg gratings (FBGs), were studied for incipient gear pitting fault detection. Different levels of tooth surface wear were simulated and tested in the experimental test rig. The FBG sensors are bonded to the outside of the gearbox directly. It is shown that FBG can effectively reflect the gear meshing frequencies as well as the fault signatures. The diagnostic results indicate that FBG signals can effectively detect wear fault under heavy load conditions. However, the performance of FBGs can be limited by the relatively weak strain signals when the structure stiffness of the gearbox is high. Compared with vibration sensors, FBGs are less sensitive to faults under light load conditions. Vibration signals, on the other hand, are less sensitive to incipient wear fault under heavy load conditions. Therefore, under heavy load conditions, FBG strain sensors can be more suitable for incipient fault detection.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133805170","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: 4

A wearable multimode system with soft sensors for lower limb activity evaluation and rehabilitation 一种用于下肢活动评估和康复的带有软传感器的可穿戴多模系统

2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2018-07-10 DOI: 10.1109/I2MTC.2018.8409880

Shenjie Bao, Shubao Yin, Hongyu Chen, Wei Chen

{"title":"A wearable multimode system with soft sensors for lower limb activity evaluation and rehabilitation","authors":"Shenjie Bao, Shubao Yin, Hongyu Chen, Wei Chen","doi":"10.1109/I2MTC.2018.8409880","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409880","url":null,"abstract":"A novel wearable multimode system for lower limb activity evaluation and rehabilitation comprised of a multifunctional band, plantar pressure distribution sensor and a local mobile terminal connected to a cloud platform is presented. This proposed system can acquire the necessary data for lower limb activity evaluation based on clinical practice. By using proposed system, the therapists can distribute the specific training plans based on the evaluation results through the system for the patients to rehabilitate more efficiently. Inertial Measurement Units (IMU) and physiological signal front ends with carbonized foam electrode are embedded in the proposed system to obtain motion signals and electromyogram (EMG) signal. Furthermore, a novel plantar pressure distribution sensor using flexible pressure sensors, flexible conductive lines and fabric materials is proposed to get the plantar pressure distribution. The carbonized foam electrode and proposed plantar pressure distribution sensor enable a more convenient evaluation and rehabilitation process. Patients can switch between two different wearing modes with EMG signal on and off. The user interfaces of training mode and evaluation mode are also presented together with the evaluation methods based on the clinical practice. Experiments were carried out to investigate the system performance, which demonstrated the feasibility of the proposed system. The proposed system shows a potential in home-based scenarios and clinical practice.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134174643","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