Pub Date : 2015-04-13DOI: 10.1109/SAS.2015.7133648
Mark D. Locuson, G. Lecakes, Anthony L. Aita, H. Goldman, S. Mandayam, Mira Lalovic-Hand
Three dimensional tools for anatomical and radiological education for medical students are not novel. However, there has been limited ability to apply these tools into clinical practice. We speculate the reason for this situation is that although anatomical education software exists for a myriad of devices, and multiple applications exist for hand held devices, these platforms do not provide for intuitive correlation of clinical information from multiple diagnostic imaging procedures, nor do they provide users with any measure of prognostic capability. In this paper, we demonstrate the development of a virtual scalpel in the 3-D, immersive, navigable and interactive environment provided by a CAVE™. We propose that such an environment allows for the integrated visualization of medical images obtained from multiple radiological imaging platforms including CT, MRI, and PET. We intend to show such a system is advantageous not only for anatomical education but also for clinicians as a useful tool in surgical practice.
{"title":"A virtual scalpel for visualizing patients in a three-dimensional, immersive, navigable and interactive virtual reality environment","authors":"Mark D. Locuson, G. Lecakes, Anthony L. Aita, H. Goldman, S. Mandayam, Mira Lalovic-Hand","doi":"10.1109/SAS.2015.7133648","DOIUrl":"https://doi.org/10.1109/SAS.2015.7133648","url":null,"abstract":"Three dimensional tools for anatomical and radiological education for medical students are not novel. However, there has been limited ability to apply these tools into clinical practice. We speculate the reason for this situation is that although anatomical education software exists for a myriad of devices, and multiple applications exist for hand held devices, these platforms do not provide for intuitive correlation of clinical information from multiple diagnostic imaging procedures, nor do they provide users with any measure of prognostic capability. In this paper, we demonstrate the development of a virtual scalpel in the 3-D, immersive, navigable and interactive environment provided by a CAVE™. We propose that such an environment allows for the integrated visualization of medical images obtained from multiple radiological imaging platforms including CT, MRI, and PET. We intend to show such a system is advantageous not only for anatomical education but also for clinicians as a useful tool in surgical practice.","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133257759","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}
Pub Date : 2015-04-13DOI: 10.1109/SAS.2015.7133623
Manos Koutsoubelias, S. Lalis, Nasos Grigoropoulos, P. Lampsas, S. Katsikas, D. Dimas
Wireless sensor networks (WSNs) can be extensively tested, before being deployed, using simulators and testbeds. However, it is equally important to be able to test a WSN system after it has been deployed, to verify that it will work as expected when certain conditions of interest apply. To this end, we present a script-based mechanism for letting nodes produce artificial sensor values, transparently to the application. The user can write and upload scripts, and activate/deactivate script execution for selected nodes and sensors, at any point in time, without changing the node firmware. Our implementation requires little memory and has negligible runtime overhead, thus can be adopted for resource-constrained nodes.
{"title":"Scriptable virtual onboard sensors for conducting post-deployment drills in wireless sensor networks","authors":"Manos Koutsoubelias, S. Lalis, Nasos Grigoropoulos, P. Lampsas, S. Katsikas, D. Dimas","doi":"10.1109/SAS.2015.7133623","DOIUrl":"https://doi.org/10.1109/SAS.2015.7133623","url":null,"abstract":"Wireless sensor networks (WSNs) can be extensively tested, before being deployed, using simulators and testbeds. However, it is equally important to be able to test a WSN system after it has been deployed, to verify that it will work as expected when certain conditions of interest apply. To this end, we present a script-based mechanism for letting nodes produce artificial sensor values, transparently to the application. The user can write and upload scripts, and activate/deactivate script execution for selected nodes and sensors, at any point in time, without changing the node firmware. Our implementation requires little memory and has negligible runtime overhead, thus can be adopted for resource-constrained nodes.","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128846159","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}
Pub Date : 2015-04-13DOI: 10.1109/SAS.2015.7133658
Michal Meina, Adam Krasuski, Krzysztof Rykaczewski
This paper introduces a model fusion approach that improves the effectiveness of Personal Dead Reckoning Systems that exploits foot-mounted Inertial Measurement Units. Our solution estimates a sensor orientation by exploiting the Madgwick's algorithm integrated with popular Kalman-based solution. This way, attitude and heading correction is not based on the Zero-Velocity phase assumption which introduces significant error. The experiments conducted on ground-truth data shows, that the proposed approach outperforms state-of-the-art solution by reducing systematic and modelling errors and also provides better heading estimation.
{"title":"Model fusion for inertial-based personal dead reckoning systems","authors":"Michal Meina, Adam Krasuski, Krzysztof Rykaczewski","doi":"10.1109/SAS.2015.7133658","DOIUrl":"https://doi.org/10.1109/SAS.2015.7133658","url":null,"abstract":"This paper introduces a model fusion approach that improves the effectiveness of Personal Dead Reckoning Systems that exploits foot-mounted Inertial Measurement Units. Our solution estimates a sensor orientation by exploiting the Madgwick's algorithm integrated with popular Kalman-based solution. This way, attitude and heading correction is not based on the Zero-Velocity phase assumption which introduces significant error. The experiments conducted on ground-truth data shows, that the proposed approach outperforms state-of-the-art solution by reducing systematic and modelling errors and also provides better heading estimation.","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114849260","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}
Pub Date : 2015-04-13DOI: 10.1109/SAS.2015.7133609
Anil Yuksel, Erkam Uzun, B. Tavlı
Wireless Sensor Network (WSN) paradigm is an integral component of ubiquitous computing and Machine-to-Machine communications. Since WSNs are widely used in homeland security, military applications, next generation power lines, critical infrastructure monitoring and smart spaces, they are naturally attractive to the adversaries and vulnerable to natural conditions because of their harsh topologies. Although, there are some solutions against Denial of Service (DoS) attacks conducted against single or multiple sensor nodes in WSNs, WSNs are, at best, weakly defended against more sophisticated attack types. Therefore, the period that the sensor network will stand out against such attacks has a crucial importance to calculate intervention or backup times for WSNs. In this study, we propose a linear programming (LP) approach for modeling the impact of single node attacks on network lifetime in WSNs. We explored the parameter space through the numerical evaluations of the LP model to quantify the impact of elimination of the most critical node on WSN lifetime.
{"title":"The impact of elimination of the most critical node on Wireless Sensor Network lifetime","authors":"Anil Yuksel, Erkam Uzun, B. Tavlı","doi":"10.1109/SAS.2015.7133609","DOIUrl":"https://doi.org/10.1109/SAS.2015.7133609","url":null,"abstract":"Wireless Sensor Network (WSN) paradigm is an integral component of ubiquitous computing and Machine-to-Machine communications. Since WSNs are widely used in homeland security, military applications, next generation power lines, critical infrastructure monitoring and smart spaces, they are naturally attractive to the adversaries and vulnerable to natural conditions because of their harsh topologies. Although, there are some solutions against Denial of Service (DoS) attacks conducted against single or multiple sensor nodes in WSNs, WSNs are, at best, weakly defended against more sophisticated attack types. Therefore, the period that the sensor network will stand out against such attacks has a crucial importance to calculate intervention or backup times for WSNs. In this study, we propose a linear programming (LP) approach for modeling the impact of single node attacks on network lifetime in WSNs. We explored the parameter space through the numerical evaluations of the LP model to quantify the impact of elimination of the most critical node on WSN lifetime.","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122148929","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}
Pub Date : 2015-04-13DOI: 10.1109/SAS.2015.7133621
D. Vyroubal, I. Lacković
Target temperature effect on eddy current displacement sensing is analyzed and evaluated by simulation. The equivalent target quality factor is detected as the main factor that, along with the probe equivalent quality factor, determines this effect. It manifests in ambiguity of displacement measurement, as well as, masking the displacement variation by target temperature variation, and vice versa. The analysis and the simulation show that there is an optimal operating frequency for minimum sensitivity over an acceptable displacement range.
{"title":"Target temperature effect on eddy-current displacement sensing","authors":"D. Vyroubal, I. Lacković","doi":"10.1109/SAS.2015.7133621","DOIUrl":"https://doi.org/10.1109/SAS.2015.7133621","url":null,"abstract":"Target temperature effect on eddy current displacement sensing is analyzed and evaluated by simulation. The equivalent target quality factor is detected as the main factor that, along with the probe equivalent quality factor, determines this effect. It manifests in ambiguity of displacement measurement, as well as, masking the displacement variation by target temperature variation, and vice versa. The analysis and the simulation show that there is an optimal operating frequency for minimum sensitivity over an acceptable displacement range.","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128362402","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}
Pub Date : 2015-04-13DOI: 10.1109/SAS.2015.7133614
B. Novoselnik, Josip Cesic, M. Baotic, I. Petrović
The reduction of energy consumption in residential buildings and houses represents a major societal and environmental challenge. A huge portion of energy consumption in houses and buildings goes towards comfort control - heating, ventilation and air conditioning. Modern architecture tackles these problems by considering (i) passive exploitation of solar energy and (ii) use of special construction materials that often have quite complex characteristics. Therefore, a smart energy management control system should be able to take both of these considerations into account. This paper proposes a model predictive control (MPC) strategy for energy efficient management of heating and cooling of a house that can cope with the nonlinearities in the system induced by the use of modern construction materials. Furthermore, the proposed controller takes into account the weather forecast information, in particular the prediction of solar irradiance and air temperature. The nonlinear behavior of the system is approximated by a piecewise affine model and further incorporated into the mixed logical dynamical framework. The performance of the proposed nonlinear MPC is demonstrated in simulation experiments, which show applicability and usefulness of the MPC algorithm for energy management.
{"title":"Nonlinear model predictive control for energy efficient housing with modern construction materials","authors":"B. Novoselnik, Josip Cesic, M. Baotic, I. Petrović","doi":"10.1109/SAS.2015.7133614","DOIUrl":"https://doi.org/10.1109/SAS.2015.7133614","url":null,"abstract":"The reduction of energy consumption in residential buildings and houses represents a major societal and environmental challenge. A huge portion of energy consumption in houses and buildings goes towards comfort control - heating, ventilation and air conditioning. Modern architecture tackles these problems by considering (i) passive exploitation of solar energy and (ii) use of special construction materials that often have quite complex characteristics. Therefore, a smart energy management control system should be able to take both of these considerations into account. This paper proposes a model predictive control (MPC) strategy for energy efficient management of heating and cooling of a house that can cope with the nonlinearities in the system induced by the use of modern construction materials. Furthermore, the proposed controller takes into account the weather forecast information, in particular the prediction of solar irradiance and air temperature. The nonlinear behavior of the system is approximated by a piecewise affine model and further incorporated into the mixed logical dynamical framework. The performance of the proposed nonlinear MPC is demonstrated in simulation experiments, which show applicability and usefulness of the MPC algorithm for energy management.","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128427504","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}
Pub Date : 2015-04-13DOI: 10.1109/SAS.2015.7133632
G. Masilamany, P. Joubert, S. Serfaty, B. Roucaries, P. Griesmar
The sensing of dielectric properties of organic media is required in various fields such as agriculture, food industry or human health. Indeed these properties are related to the state of the organic media, and may be used as relevant indicators, especially in the radiofrequencies (RF), to either assess the quality of food in food industry or the physiopathological state of tissues in medical applications. As opposed to some conventional dielectric measurement techniques, the technique proposed in this study is contactless, easy to implement, and sensitive to both the conductivity and the permittivity of the media under investigation. The sensing technique lies in the distant monitoring of a high-quality factor inductive RF resonator, electromagnetically coupled to the investigated medium. In this study, the authors aim at assessing the feasibility and accuracy of dielectric media sensing by means of their contactless and easy-to-implement method. To that purpose, a wireless cylindrical inductive RF resonator inductively coupled to a monitoring bobbin coil is considered. It constitutes a radiating transmit and receive inductive sensor electromagnetically interacting with its direct environment (e.g. organic material). The dielectric properties of this environment are sensed through the impedance changes of the resonator, which is remotely monitored by a distant bobbin coil. In this study, the resonator is implemented for the distant sensing of organic material phantoms constituted of solutions featuring tabulated dielectric properties. A lumped element modeling of the RF probe interacting with the medium is proposed. Preliminary results open the way to the development of easy-to-implement dielectric characterization techniques of organic media, such as contactless medical sensing devices.
{"title":"Evaluation of a high sensitivity radiofrequency inductive probe for the non-contact sensing of dielectric properties of organic media","authors":"G. Masilamany, P. Joubert, S. Serfaty, B. Roucaries, P. Griesmar","doi":"10.1109/SAS.2015.7133632","DOIUrl":"https://doi.org/10.1109/SAS.2015.7133632","url":null,"abstract":"The sensing of dielectric properties of organic media is required in various fields such as agriculture, food industry or human health. Indeed these properties are related to the state of the organic media, and may be used as relevant indicators, especially in the radiofrequencies (RF), to either assess the quality of food in food industry or the physiopathological state of tissues in medical applications. As opposed to some conventional dielectric measurement techniques, the technique proposed in this study is contactless, easy to implement, and sensitive to both the conductivity and the permittivity of the media under investigation. The sensing technique lies in the distant monitoring of a high-quality factor inductive RF resonator, electromagnetically coupled to the investigated medium. In this study, the authors aim at assessing the feasibility and accuracy of dielectric media sensing by means of their contactless and easy-to-implement method. To that purpose, a wireless cylindrical inductive RF resonator inductively coupled to a monitoring bobbin coil is considered. It constitutes a radiating transmit and receive inductive sensor electromagnetically interacting with its direct environment (e.g. organic material). The dielectric properties of this environment are sensed through the impedance changes of the resonator, which is remotely monitored by a distant bobbin coil. In this study, the resonator is implemented for the distant sensing of organic material phantoms constituted of solutions featuring tabulated dielectric properties. A lumped element modeling of the RF probe interacting with the medium is proposed. Preliminary results open the way to the development of easy-to-implement dielectric characterization techniques of organic media, such as contactless medical sensing devices.","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129331143","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}
Pub Date : 2015-04-13DOI: 10.1109/SAS.2015.7133582
B. Srbinovski, M. Magno, B. O’flynn, V. Pakrashi, E. Popovici
Wireless sensor nodes have a limited power budget, while they are often expected to be functional for a very long period of time once deployed in the field. Therefore, the minimization of energy consumption and energy harvesting technology are key tools for maximization of network lifetime and achieving self sustainability in Wireless Sensor Networks (WSN). This paper proposes an energy aware Adaptive Sampling Algorithm (ASA) for WSN with power hungry sensors and harvesting capabilities. An existing ASA developed for wireless sensor networks with power hungry sensors is optimized and enhanced to adapt the sampling frequency according to the available energy of the node. The proposed algorithm is evaluated using an in-field testbed with a sensor node which incorporates a wind harvester and a power hungry wind speed/direction sensor. Simulation and comparison between an existing ASA and the energy aware ASA in terms of energy durability are carried out using the measured wind energy and the wind speed over a period of a month. The simulation results have shown that using ASA in combination with energy aware function on the nodes can drastically increase the lifetime of a WSN node. Moreover, the energy aware ASA in conjunction with the node energy harvesting capability can lead towards a perpetual operation of WSN and significantly outperform state-of-the-art ASA.
{"title":"Energy aware adaptive sampling algorithm for energy harvesting wireless sensor networks","authors":"B. Srbinovski, M. Magno, B. O’flynn, V. Pakrashi, E. Popovici","doi":"10.1109/SAS.2015.7133582","DOIUrl":"https://doi.org/10.1109/SAS.2015.7133582","url":null,"abstract":"Wireless sensor nodes have a limited power budget, while they are often expected to be functional for a very long period of time once deployed in the field. Therefore, the minimization of energy consumption and energy harvesting technology are key tools for maximization of network lifetime and achieving self sustainability in Wireless Sensor Networks (WSN). This paper proposes an energy aware Adaptive Sampling Algorithm (ASA) for WSN with power hungry sensors and harvesting capabilities. An existing ASA developed for wireless sensor networks with power hungry sensors is optimized and enhanced to adapt the sampling frequency according to the available energy of the node. The proposed algorithm is evaluated using an in-field testbed with a sensor node which incorporates a wind harvester and a power hungry wind speed/direction sensor. Simulation and comparison between an existing ASA and the energy aware ASA in terms of energy durability are carried out using the measured wind energy and the wind speed over a period of a month. The simulation results have shown that using ASA in combination with energy aware function on the nodes can drastically increase the lifetime of a WSN node. Moreover, the energy aware ASA in conjunction with the node energy harvesting capability can lead towards a perpetual operation of WSN and significantly outperform state-of-the-art ASA.","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129169377","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}
Pub Date : 2015-04-13DOI: 10.1109/SAS.2015.7133601
T. Bore, N. Wagner, S. Delepine-Lesoille, F. Taillade, G. Six, F. Daout, D. Placko
The use of electromagnetic sensors such as Time Domain Reflectometry (TDR) probes has gained increasing importance for long term monitoring of the water content in radioactive waste repositories. TDR probes are sensitive to changes in electromagnetic properties of the surrounding material, a clay rock in our case. Prior to the in situ application, it is mandatory to have an accurate relationship between the electromagnetic properties of the intact host clay rock and the water content. For this purpose, the dielectric properties of intact clay rock samples were systematically studied at frequencies from 1 MHz to 10 GHz with network analyzer technique in combination with coaxial transmission line cells. Samples were conditioned to achieve a water saturation range from 16 % to nearly saturation. The relaxation behavior was quantified based on a generalized fractional relaxation model under consideration of an apparent direct current conductivity assuming three relaxation processes: a high-frequency water process and two interfacial processes which are related to interactions between the aqueous pore solution and mineral particles (adsorbed/hydrated water relaxation, counter ion relaxation and Maxwell-Wagner effects). In a second step, these data are introduced in 3-D numerical frequency domain finite element field calculations to model the one port broadband frequency or time domain transfer function for a three rode based TDR-probe embedded in the clay rock. The results are analyzed with classical travel time analysis (onset/inflection) which under/overestimates the value of the permittivity compared to effective permittivity at 1 GHz. Indeed, apparent permittivity contains not only the water-content contribution but also effects due to water-mineral interaction processes. The results demonstrate the capabilities of a combined TD/FD analysis procedure for the monitoring of physical and chemical properties of materials with high frequency electromagnetic sensor techniques.
{"title":"3D-FEM modeling of F/TDR sensors for clay-rock water content measurement in combination with broadband dielectric spectroscopy","authors":"T. Bore, N. Wagner, S. Delepine-Lesoille, F. Taillade, G. Six, F. Daout, D. Placko","doi":"10.1109/SAS.2015.7133601","DOIUrl":"https://doi.org/10.1109/SAS.2015.7133601","url":null,"abstract":"The use of electromagnetic sensors such as Time Domain Reflectometry (TDR) probes has gained increasing importance for long term monitoring of the water content in radioactive waste repositories. TDR probes are sensitive to changes in electromagnetic properties of the surrounding material, a clay rock in our case. Prior to the in situ application, it is mandatory to have an accurate relationship between the electromagnetic properties of the intact host clay rock and the water content. For this purpose, the dielectric properties of intact clay rock samples were systematically studied at frequencies from 1 MHz to 10 GHz with network analyzer technique in combination with coaxial transmission line cells. Samples were conditioned to achieve a water saturation range from 16 % to nearly saturation. The relaxation behavior was quantified based on a generalized fractional relaxation model under consideration of an apparent direct current conductivity assuming three relaxation processes: a high-frequency water process and two interfacial processes which are related to interactions between the aqueous pore solution and mineral particles (adsorbed/hydrated water relaxation, counter ion relaxation and Maxwell-Wagner effects). In a second step, these data are introduced in 3-D numerical frequency domain finite element field calculations to model the one port broadband frequency or time domain transfer function for a three rode based TDR-probe embedded in the clay rock. The results are analyzed with classical travel time analysis (onset/inflection) which under/overestimates the value of the permittivity compared to effective permittivity at 1 GHz. Indeed, apparent permittivity contains not only the water-content contribution but also effects due to water-mineral interaction processes. The results demonstrate the capabilities of a combined TD/FD analysis procedure for the monitoring of physical and chemical properties of materials with high frequency electromagnetic sensor techniques.","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123286966","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}
Pub Date : 2015-04-13DOI: 10.1109/SAS.2015.7133596
A. Zabihollah, Farshid Entessari, H. Alimohmmadi
In this paper a structural health monitoring technique considering the effect of wind on structural stability on laminated composite wind turbine has been investigated. Based on fluid structure interaction method and Hashin failure criteria, condition monitoring of wind turbine blades under sudden change of wind speed is investigated. The embedded fiber optic sensors are considered to detect the change in strain due to wind forces on the blades.
{"title":"Fault detection of wind turbine blade under sudden change of wind speed condition using fiber optics","authors":"A. Zabihollah, Farshid Entessari, H. Alimohmmadi","doi":"10.1109/SAS.2015.7133596","DOIUrl":"https://doi.org/10.1109/SAS.2015.7133596","url":null,"abstract":"In this paper a structural health monitoring technique considering the effect of wind on structural stability on laminated composite wind turbine has been investigated. Based on fluid structure interaction method and Hashin failure criteria, condition monitoring of wind turbine blades under sudden change of wind speed is investigated. The embedded fiber optic sensors are considered to detect the change in strain due to wind forces on the blades.","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126477293","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：