2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)最新文献_第2页

Microwave dosimeters for domestic use 家用微波剂量计

2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2017-07-01 DOI: 10.1109/EESMS.2017.8052696

A. Simakov, E. Onishchenko, B. Gurkovskiy, V. Butuzov, Y. Bocharov, I. Vodokhlebov, V. Pershenkov, B. Zhuravlev, N. Trifonova

引用次数: 0

Enhanced fault detection of an air quality monitoring network 加强空气质素监测网络的故障侦测

2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2017-07-01 DOI: 10.1109/EESMS.2017.8052681

M. Mansouri, H. Nounou, M. Harkat, M. Nounou

{"title":"Enhanced fault detection of an air quality monitoring network","authors":"M. Mansouri, H. Nounou, M. Harkat, M. Nounou","doi":"10.1109/EESMS.2017.8052681","DOIUrl":"https://doi.org/10.1109/EESMS.2017.8052681","url":null,"abstract":"Environmental pollution has adverse consequences on human health and the ecosystem. Among the most dangerous types of pollution is air pollution in urban areas, which has been shown to be strongly linked to higher morbidity and mortality rates. Air pollution can be due to several factors, such as human activities (that produce pollutants such as nitrogen oxides, carbon oxides, and volatile organic compounds), photochemical reactions in the lower atmosphere (that produce ozone), or meteorological conditions that affect the concentrations of dust and particulate matter. The contamination levels of these pollutants need to be maintained below acceptable limits set by the world health organization (WHO) or air quality associations in various areas of the world in order to minimize the impact of these pollutants on humans and the environment. A detection of anomalies in measured air quality data is a crucial step towards improving the monitoring of air quality networks. Therefore, an enhanced fault detection technique of an air quality monitoring network using multiscale principal component analysis (MSPCA)-based on moving window generalized likelihood ratio test (MW-GLRT) is proposed. The presence of measurement noise in the data and model uncertainties degrade the quality of fault detection techniques by increasing the rate of false alarms. Thus, the objective of this paper is to enhance the fault detection of an air quality monitoring network by using wavelet-based multiscale representation of data, which is a powerful feature extraction tool to remove the noises from the data. Multiscale data representation has been used to enhance the fault detection abilities of principal component analysis. The results demonstrate the effectiveness of the MSPCA-based MW-GLRT method over the conventional MSPCA-based GLRT method and both of them provide a good performance compared with the conventional PCA and MSPCA methods.","PeriodicalId":285890,"journal":{"name":"2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130535239","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: 3

The effect of node deployment scheme on LWSN lifetime for railway monitoring applications 节点部署方案对铁路监控LWSN寿命的影响

2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2017-07-01 DOI: 10.1109/EESMS.2017.8052692

Nukhet Sazak, Mutlu Ertug

引用次数: 6

Evaluation of Lagrangian time scales and turbulent diffusivities by GPS equipped drifters 装有GPS的漂移器对拉格朗日时间尺度和湍流扩散系数的评估

2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2017-07-01 DOI: 10.1109/EESMS.2017.8052687

A. Pini, L. Grandoni, G. Leuzzi, P. Monti, F. Maicu, F. De Pascalis

引用次数: 0

Low cost monitoring network for smart cities 低成本的智能城市监控网络

2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2017-07-01 DOI: 10.1109/EESMS.2017.8052682

J. Hernández, Alvaro Corredera, Rubén García, Cecilia Sanz, Roberto Sanz

引用次数: 2

Fast guided waves inspection using compressive sensing and wavenumber domain analysis 基于压缩感知和波数域分析的快速导波检测

2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2017-07-01 DOI: 10.1109/EESMS.2017.8052694

Yasamin Keshmiri Esfandabad, A. Marzani, L. De Marchi

{"title":"Fast guided waves inspection using compressive sensing and wavenumber domain analysis","authors":"Yasamin Keshmiri Esfandabad, A. Marzani, L. De Marchi","doi":"10.1109/EESMS.2017.8052694","DOIUrl":"https://doi.org/10.1109/EESMS.2017.8052694","url":null,"abstract":"Many nondestructive evaluations and structural health monitoring techniques for plate like structures rely on the full field analysis related to stress guided waves propagation. Such techniques can be quite slow as in general the acquisition of the full wave field and its processing, aimed at extracting damage related information, are time consuming processes. Therefore, strategies to reduce the acquisition time and improve the damage detection and quantification are sought. This research describes a method based on Compressive Sensing (CS) and a wavenumber estimation technique that can lead to fast scanning and improved damage detection. The proposed technique exploits the full wavefields which are rapidly reconstructed by applying the CS technique. Then, frequency wavenumber processing is performed to identify the maximum wavelength. Finally a dedicated masking procedure is implemented to enhance the defect-induced scattering. To demonstrate the effectiveness of the proposed techniques, several experiments were performed on aluminum structure, emulating defect with a mass. In the experiments, guided waves are excited with a piezoelectric transducer bonded to the inspected structure and sensed by an air-coupled probe mounted on a CNC machine. The results demonstrate that the proposed technique allows to reduce the amount of measurements needed and therefore the needed scanning time, as just the 20% of the Nyquist scanpoints were measured, and improves the performance of damage imaging tasks by removing automatically noise artifacts.","PeriodicalId":285890,"journal":{"name":"2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130703736","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

Analysis of the mercury induced fragmentation of certain n-alkanes in pulsed ion mobility spectrometry with Gold's Algorithm 用Gold's算法在脉冲离子迁移谱法中分析汞引起的某些正构烷烃的破碎

2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2017-07-01 DOI: 10.1109/EESMS.2017.8052677

H. Medhat, F. Gunzer

引用次数: 0

An imaging system for visual inspection and structural condition monitoring of railway tunnels 一种用于铁路隧道视觉检测和结构状态监测的成像系统

2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2017-07-01 DOI: 10.1109/EESMS.2017.8052679

Mark David Jenkins, T. Buggy, G. Morison

引用次数: 14

IoT and CPS applications based on wearable devices. A case study: Monitoring of elderly and infirm patients 基于可穿戴设备的物联网和CPS应用。案例研究:老年和体弱患者的监测

2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2017-07-01 DOI: 10.1109/EESMS.2017.8052698

Alessandro Quarto, D. Soldo, Simona Gemmano, R. Dario, V. Di Lecce, C. Guaragnella, A. Cardellicchio, A. Lombardi

引用次数: 4

Aeroelastic monitoring system: A part of long-span bridge structural health monitoring system 气动弹性监测系统:大跨度桥梁结构健康监测系统的一部分

2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2017-07-01 DOI: 10.1109/EESMS.2017.8052680

Andre Yulian Atmojo, Khoerul Anwar, M. G. Andika, R. N. Wardhani

{"title":"Aeroelastic monitoring system: A part of long-span bridge structural health monitoring system","authors":"Andre Yulian Atmojo, Khoerul Anwar, M. G. Andika, R. N. Wardhani","doi":"10.1109/EESMS.2017.8052680","DOIUrl":"https://doi.org/10.1109/EESMS.2017.8052680","url":null,"abstract":"Wind-flow around a long-span bridge, as a bluff body, will generate an aerodynamic force that interacts with the flow, causing vibration to the bridge deck. This phenomenon can lead to structural fatigue or worst, the bridge collapse. A continuous and comprehensive measurement system is needed for early detection and maintenance reference of a long-span bridge. Another benefit this system is aiming at maintaining the bridge design validation and getting development recommendation for subsequent structure. A comprehensive structural health monitoring system can be built based on data from continuous measurement and analysis of other loads such as seismic activities, traffic load, waves, self-weight of structure, earth pressure, corrosion, temperature, and so on. Some experiments have been conducted by National Laboratory of Aerodynamic, Aeroelastic and Aeroacoustic Technology's research team, which resulted in a long-span bridges aeroelastic monitoring system prototype. The prototype, called BAMS x1, can acquire wind direction, wind speed and vertical acceleration (heaving) data of a long-span bridge. A National Instrument based embedded data acquisition hardware is used. A stand-alone measurement system in remote location (based on Lab VIEW Web Service) can be build, and it is sending the data package to the server every 10 s period. At the server side, some data management and processing are done to prepare the data to the next level of analysis processing. Further development will be conducted to supply advanced data, accessible to all over the world through web application.","PeriodicalId":285890,"journal":{"name":"2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125178855","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