2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)最新文献_第3页

Monitoring applied and residual stress in materials and structures by non-destructive acoustoelastic techniques 用非破坏性声弹性技术监测材料和结构中的应用应力和残余应力

2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2016-06-13 DOI: 10.1109/EESMS.2016.7504830

Anna Castellano, Pilade Foti, A. Fraddosio, S. Marzano, F. Paparella, Mario Daniele Piccioni

{"title":"Monitoring applied and residual stress in materials and structures by non-destructive acoustoelastic techniques","authors":"Anna Castellano, Pilade Foti, A. Fraddosio, S. Marzano, F. Paparella, Mario Daniele Piccioni","doi":"10.1109/EESMS.2016.7504830","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504830","url":null,"abstract":"We present an innovative non-destructive approach based on the analysis of acoustoelastic effect for monitoring applied and residual stress in materials and structures. The proposed approach can be considered as base for a structures monitoring system. The analysis of the acoustoelastic effect for solid bodies, i.e., the correlation between the acoustic properties and the stress state, may be suitably exploited for experimental purposes. To this aim, relevant modeling and experimental issues should be overcome. Indeed, the usual theoretical framework of the acoustoelastic measurements is the so-called third-order elasticity, based on the use of the acoustoelastic coefficients, and requiring relatively simple experimental measurements. Here, by adopting an innovative ultrasonic setup, we investigate the capability of a theoretical model developed within the linearized elasticity, and used for describing the propagation of small amplitude waves in prestressed elastic materials. The results of the ultrasonic tests show that this approach in capable of accurate in situ stress measurements. The proposed experimental setup could be further investigated for monitoring applications of stress states in structures during their service life.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123851846","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: 17

Semi enclosed basin monitoring and analysis of meteo, wave, tide and current data: Sea monitoring 气象、波浪、潮汐和海流数据的半封闭盆地监测和分析:海洋监测

2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2016-06-13 DOI: 10.1109/EESMS.2016.7504835

E. Armenio, M. Ben Meftah, M. F. Bruno, D. De Padova, F. De Pascalis, F. De Serio, A. Di Bernardino, M. Mossa, G. Leuzzi, P. Monti

{"title":"Semi enclosed basin monitoring and analysis of meteo, wave, tide and current data: Sea monitoring","authors":"E. Armenio, M. Ben Meftah, M. F. Bruno, D. De Padova, F. De Pascalis, F. De Serio, A. Di Bernardino, M. Mossa, G. Leuzzi, P. Monti","doi":"10.1109/EESMS.2016.7504835","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504835","url":null,"abstract":"The present paper aims to show and discuss the long term and continuous recordings of both meteorological and hydrodynamic data collected in a semi enclosed sea. The site in question is composed by the Mar Grande and Mar Piccolo basins (Southern Italy), which are mutually connected. In turn, the Mar Grande is joined to the Ionian Sea by means of two openings. Therefore, the system shows features typical of a lagunar environment, which is also affected by coastal heavy industry and anthropic pressure, thus being highly vulnerable. A monitoring of its hydrodynamics could be useful, allowing both to check the real-time status of the basin and promptly intervene when accidents occur and to create a dataset necessary to calibrate and validate modelling systems providing forecasts. To this, in the framework of the Italian flagship Project RITMARE, a meteo-oceanographic station, a wave-current meter and a tide gauge have been installed in the area, since December 2013. In detail, measurements of wind, waves, tides and current profiles, are acquired on site with different sampling frequencies and are transmitted on a web cloud by a router 3G, where they are stored, thus being available for download by remote users. The data acquisition and processing is managed by the research group of the Department of Civil, Environmental, Building, Engineering and Chemistry (Technical University of Bari). All the acquired data are archived in monthly time-series, examined and discussed. The analysis of currents is made in two different measuring stations for the whole year 2015, as well as the analysis of wave data. On the contrary, tide data have been assessing only recently, since August 2015. Comparisons with available recordings of the year 2014 are examined. Also spatial and temporal correlations of both waves and currents are discussed. Finally, tidal trends are shown, consistent with current inversions.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128042256","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: 20

Online wastewater monitoring system using solid state sensor 采用固态传感器的废水在线监测系统

2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2016-06-13 DOI: 10.1109/EESMS.2016.7504845

V. Di Lecce, D. Petruzzelli, D. Soldo, Alessandro Quarto

引用次数: 7

Estimates of turbulence parameters from satellite-tracked drifters 从卫星跟踪的漂流器估计湍流参数

2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2016-06-13 DOI: 10.1109/EESMS.2016.7504839

A. Pini, G. Leuzzi, P. Monti

引用次数: 1

Improvement of the ion transfer efficiency in ion mobility spectrometry-mass spectrometry 离子迁移谱-质谱法中离子传递效率的改进

2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2016-06-13 DOI: 10.1109/EESMS.2016.7504828

Mahmoud Y. El-Shafie, Sally Bebawi, Hussein H. Zomor, F. Gunzer

{"title":"Improvement of the ion transfer efficiency in ion mobility spectrometry-mass spectrometry","authors":"Mahmoud Y. El-Shafie, Sally Bebawi, Hussein H. Zomor, F. Gunzer","doi":"10.1109/EESMS.2016.7504828","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504828","url":null,"abstract":"Ion Mobility Spectrometry (IMS) is a well known technique applied whenever gases need to be analyzed. Prominent examples are environmental monitoring applications, including safety related applications when handling hazardous substances in production plants (e.g. oil/gas industry) or military applications. The advantages of IMS detectors are fast response times of a few milliseconds, very high sensitivity in the ppb range and a small and simple set up that allows for portability and robustness for even field deployment. Problematic is the relatively low sensitivity, i.e. a lot of substances yield the same signal response. In order to improve, IMS are often coupled with mass spectrometry (MS) devices. The main challenge in IMS-MS is that the ions have to be transferred from atmospheric pressure on the IMS side to vacuum on the MS side, which allows only for interfaces of very small diameters and thus introduces ion loss. In this paper we have analyzed with help of finite elements method simulations how the shape of that small diameter interface influences the transmission efficiency, and improvements of over 100% could be achieved.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133382594","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

An automated monitoring system for surveillance and KPI calculation 用于监视和KPI计算的自动监控系统

2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2016-06-13 DOI: 10.1109/EESMS.2016.7504806

Alvaro Corredera, A. Macía, Roberto Sanz, J. Hernández

{"title":"An automated monitoring system for surveillance and KPI calculation","authors":"Alvaro Corredera, A. Macía, Roberto Sanz, J. Hernández","doi":"10.1109/EESMS.2016.7504806","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504806","url":null,"abstract":"Monitoring is one of the key points in any retrofitting project because, thanks to its results, both the current and improved status can be analysed. Within this context, not only monitoring is important, but also consistency and coherency of data, as well as aggregated information is required. In that sense, surveillance methods and Key Performance Indicators (KPIs) play a pivotal role. Thus, the project iNSPiRe develops an automated monitoring system able to store daily information, as well as automatically calculate KPIs by means of database technologies and determines alarms at different levels. With the obtained results, iNSPiRE aims at conceiving, developing and demonstrating Systemic Renovation Packages, through the innovative integration of envelope technologies, energy generation (including Renewable energy systems (RES) integration), energy distribution, lighting and comfort management systems into deep energy renovation of buildings, both in the residential and tertiary sectors. Then, the combination of the automated monitoring framework and the renovation packages, the goal is to achieve energy consumption for the building lower than 50 kWh/m2/year.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133446804","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

Fault diagnosis in multi-machine power systems using the Derivative-free nonlinear Kalman Filter 基于无导数非线性卡尔曼滤波的多机电力系统故障诊断

2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2016-06-13 DOI: 10.1109/EESMS.2016.7504840

G. Rigatos, P. Siano, P. Wira, Xiandong Ma

{"title":"Fault diagnosis in multi-machine power systems using the Derivative-free nonlinear Kalman Filter","authors":"G. Rigatos, P. Siano, P. Wira, Xiandong Ma","doi":"10.1109/EESMS.2016.7504840","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504840","url":null,"abstract":"In this paper a new approach to parametric change detection and failure diagnosis for interconnected power units is proposed. The method is based on a new nonlinear filtering scheme under the name Derivative-free nonlinear Kalman Filter and on statistical processing of the obtained state estimates, according to the properties of the x2 distribution. To apply this fault diagnosis method, first it is shown that the dynamic model of the distributed interconnected power generators is a differentially flat one. Next, by exploiting differential flatness properties a change of variables (diffeomorphism) is applied to the power system, which enables also to solve the associated state estimation (filtering) problem. Additionally, statistical processing is performed for the obtained residuals, that is for the differences between the state vector of the monitored power system and the state vector provided by the aforementioned filter when the latter makes use of a fault-free model. It is shown, that the suitably weighted square of the residuals' vector follows the x2 statistical distribution. This property allows to use confidence intervals and to define thresholds that demonstrate whether the distributed power system functions as its fault-free model or whether parametric changes have taken place in it and thus a fault indication should be given. It is also shown that the proposed statistical criterion enables fault isolation to be performed, that is to find out the specific power generators within the distributed power system which have exhibited a failure. The efficiency of the proposed filtering method for condition monitoring in distributed power systems is confirmed through simulation experiments.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130343867","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

An opportunistic sensor network approach to wide area environmental sensing 广域环境传感的机会传感器网络方法

2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2016-06-13 DOI: 10.1109/EESMS.2016.7504807

A. Cardellicchio, Giuseppe Dentamaro, V. Di Lecce, C. Guaragnella, M. Rizzi

引用次数: 1

Improving energy efficiency in building system using a novel people localization system 利用新颖的人员定位系统提高建筑系统的能源效率

2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2016-06-13 DOI: 10.1109/EESMS.2016.7504811

M. D'Aloia, Fabrizio Cortone, Gianpaolo Cice, R. Russo, M. Rizzi, A. Longo

引用次数: 15

Use of SHYFEM open source hydrodynamic model for time scales analysis in a semi-enclosed basin 利用SHYFEM开源水动力模型进行半封闭流域时间尺度分析

2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2016-06-13 DOI: 10.1109/EESMS.2016.7504834

F. De Pascalis, M. Ghezzo, G. Umgiesser, F. De Serio, M. Mossa

引用次数: 4