Pub Date : 2016-11-01DOI: 10.1109/ICSENST.2016.7796260
Yosuke Ota, Haruya Tamaki, T. Sakai, H. Takemura, H. Mizoguchi, S. Inagaki, F. Kusunoki, Masanori Sugimoto
Many collision accidents between operators and machine tools are reported. However, no effective way of preventing these accidents has been proposed to date. Therefore, the authors propose the implementation of a danger decision by measuring the human posture and face direction. By performing a danger decision, the authors aim to realize the effective prevention of collision accidents. The posture and face direction were measured by using a Kinect sensor, which has the ability to obtain information about the posture and face direction. This paper presents the results of experiments aimed at examining whether it is possible to realize a danger decision. The experimental results confirm the feasibility of using a danger decision based on the measurement of the operator's posture and face direction.
{"title":"Novel application of kinect sensor to prevent collision accidents between machine and operator","authors":"Yosuke Ota, Haruya Tamaki, T. Sakai, H. Takemura, H. Mizoguchi, S. Inagaki, F. Kusunoki, Masanori Sugimoto","doi":"10.1109/ICSENST.2016.7796260","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796260","url":null,"abstract":"Many collision accidents between operators and machine tools are reported. However, no effective way of preventing these accidents has been proposed to date. Therefore, the authors propose the implementation of a danger decision by measuring the human posture and face direction. By performing a danger decision, the authors aim to realize the effective prevention of collision accidents. The posture and face direction were measured by using a Kinect sensor, which has the ability to obtain information about the posture and face direction. This paper presents the results of experiments aimed at examining whether it is possible to realize a danger decision. The experimental results confirm the feasibility of using a danger decision based on the measurement of the operator's posture and face direction.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133153196","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 : 2016-11-01DOI: 10.1109/ICSENST.2016.7796216
Yujiao Shao, Yuan Yu, Yin Zhang, S. Wei, Xuefeng Li
The problem of stress corrosion cracking (SCC), which causes sudden failure of metals subjected to stress in the high-temperature, high-pressure water environment. Fortunately, acoustic emission (AE) monitoring technique shows a promising method for detecting the initiation and propagation of SCC. In this study, a simplified fracture propagation model of type 316LN stainless steel is established based on the moment tensor theory, the inner connection between the energy release rate of AE source and morphological aspect of crack formation is analyzed. Based on the nonlinear finite element method (FEM), The AE waveform data from the crack formation of various depths are obtained, and the energy release rates from various AE sources are analyzed. The results of modal analysis show that energy released by the growing crack is linearly proportional to crack depth. Moreover, their frequency characteristics are almost unchanged from analysis results by fast Fourier transform (FFT). Therefore, SCC initiation and propagation can be evaluated based on this detection method. And, the appropriate AE sensors and detection systems have the potential to achieve remote real-time monitor of initiation and propagation of SCC. This analysis method can also extended to almost all solid materials and structural crack detection.
{"title":"Analysis of acoustic emission signal characteristics based on the crack pattern of stress corrosion cracking","authors":"Yujiao Shao, Yuan Yu, Yin Zhang, S. Wei, Xuefeng Li","doi":"10.1109/ICSENST.2016.7796216","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796216","url":null,"abstract":"The problem of stress corrosion cracking (SCC), which causes sudden failure of metals subjected to stress in the high-temperature, high-pressure water environment. Fortunately, acoustic emission (AE) monitoring technique shows a promising method for detecting the initiation and propagation of SCC. In this study, a simplified fracture propagation model of type 316LN stainless steel is established based on the moment tensor theory, the inner connection between the energy release rate of AE source and morphological aspect of crack formation is analyzed. Based on the nonlinear finite element method (FEM), The AE waveform data from the crack formation of various depths are obtained, and the energy release rates from various AE sources are analyzed. The results of modal analysis show that energy released by the growing crack is linearly proportional to crack depth. Moreover, their frequency characteristics are almost unchanged from analysis results by fast Fourier transform (FFT). Therefore, SCC initiation and propagation can be evaluated based on this detection method. And, the appropriate AE sensors and detection systems have the potential to achieve remote real-time monitor of initiation and propagation of SCC. This analysis method can also extended to almost all solid materials and structural crack detection.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114310243","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 : 2016-11-01DOI: 10.1109/ICSENST.2016.7796277
Juan Yin, Xinhua Zhu, Zhiqiang Wu
Considering the disadvantages of low efficiency and huge demand for manpower, the automated batch calibrating system for MIMU(MEMS Inertial Measurement Units) is designed. The system mainly consists of muti-channel data acquisition, data storage and data processing module and automatic control module. MIMUs' datas are transmitted through Ethernet interface and control instructions are transmitted via serial port. The system can calibrate at most 16 MIMUs at the same time and can calculate calibration parameters automatically. The system also has the function of automatic power control and fault alarm, etc. A test for this system has been implemented, and the results showed that the system was reliable and effective and reduced the manpower to a great extent.
针对MEMS惯性测量单元(MEMS Inertial Measurement unit, MIMU)自动化批量校准系统效率低、人力需求大的缺点，设计了一种自动化批量校准系统。该系统主要由多通道数据采集、数据存储与处理模块和自动控制模块组成。mimu的数据通过以太网接口传输，控制指令通过串口传输。该系统最多可同时校准16个mimu，并可自动计算校准参数。系统还具有电源自动控制、故障报警等功能。对该系统进行了测试，结果表明该系统可靠有效，在很大程度上减少了人力。
{"title":"Design of automated batch calibrating system for MIMU","authors":"Juan Yin, Xinhua Zhu, Zhiqiang Wu","doi":"10.1109/ICSENST.2016.7796277","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796277","url":null,"abstract":"Considering the disadvantages of low efficiency and huge demand for manpower, the automated batch calibrating system for MIMU(MEMS Inertial Measurement Units) is designed. The system mainly consists of muti-channel data acquisition, data storage and data processing module and automatic control module. MIMUs' datas are transmitted through Ethernet interface and control instructions are transmitted via serial port. The system can calibrate at most 16 MIMUs at the same time and can calculate calibration parameters automatically. The system also has the function of automatic power control and fault alarm, etc. A test for this system has been implemented, and the results showed that the system was reliable and effective and reduced the manpower to a great extent.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114679997","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 : 2016-11-01DOI: 10.1109/ICSENST.2016.7796270
David McLoughlin, E. O’Connell, Walid Elgenaidi, Joseph Coleman, T. Newe
A wireless sensor network (WSN) is a collection of sensor nodes which can monitor the physical activities and attributes of a whole spectrum of objects and environments. The purpose of collecting this data and processing it in a meaningful manner requires that it adds significant value to the end user. WSN are deployed ever more frequently and applications vary from providing an early alert system on the activity of a volcano, to controlling the movements of livestock so that farming output can be maximized using virtual fencing. There are many challenges facing wireless sensor networks, with one being found in the uniqueness of each application, and challenges arise when WSN developers try to adequately test such applications when they are deployed with varying numbers of nodes, in all ranges of environmental conditions. To implement such systems in hardware involves a huge financial investment and from a development perspective prevents the developer from changing hardware platforms or communications protocols throughout the testing phase without incurring further financial hardship. Due to this fact, tools which can accurately simulate the behavior and performance of real world WSN applications are in high demand and a crucial aspect in the continued growth of WSN in the Internet of Things (IoT). This paper presents a cloud based system which makes various simulation platforms available to multiple users who wish to test WSN routing protocols or the hardware constraints of the various WSN platforms. This simulation testbed is hosted on a Dell PowerEdge R720 server in the communications laboratory in the University of Limerick and it is made available to users through the use of a virtual machine. This offers users access to many of the popular WSN simulation environments with vast computing resources and storage but at far reduced costs for protocol simulation.
{"title":"Review and evaluation of WSN simulation tools in a cloud based environment","authors":"David McLoughlin, E. O’Connell, Walid Elgenaidi, Joseph Coleman, T. Newe","doi":"10.1109/ICSENST.2016.7796270","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796270","url":null,"abstract":"A wireless sensor network (WSN) is a collection of sensor nodes which can monitor the physical activities and attributes of a whole spectrum of objects and environments. The purpose of collecting this data and processing it in a meaningful manner requires that it adds significant value to the end user. WSN are deployed ever more frequently and applications vary from providing an early alert system on the activity of a volcano, to controlling the movements of livestock so that farming output can be maximized using virtual fencing. There are many challenges facing wireless sensor networks, with one being found in the uniqueness of each application, and challenges arise when WSN developers try to adequately test such applications when they are deployed with varying numbers of nodes, in all ranges of environmental conditions. To implement such systems in hardware involves a huge financial investment and from a development perspective prevents the developer from changing hardware platforms or communications protocols throughout the testing phase without incurring further financial hardship. Due to this fact, tools which can accurately simulate the behavior and performance of real world WSN applications are in high demand and a crucial aspect in the continued growth of WSN in the Internet of Things (IoT). This paper presents a cloud based system which makes various simulation platforms available to multiple users who wish to test WSN routing protocols or the hardware constraints of the various WSN platforms. This simulation testbed is hosted on a Dell PowerEdge R720 server in the communications laboratory in the University of Limerick and it is made available to users through the use of a virtual machine. This offers users access to many of the popular WSN simulation environments with vast computing resources and storage but at far reduced costs for protocol simulation.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131910593","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 : 2016-11-01DOI: 10.1109/ICSENST.2016.7796258
Raul I. Ramos-Garcia, Fernanda Sotrate da Silva, Yashvanth Kondi, E. Sazonov, Lucy E. Dunne
Textile-based sensors are being integrated into garments for the monitoring of physiological signals from the human body. Commonly, textile sensors are implemented through knitting methods, while the response of these sensors from other structures has been less studied. This work analyzed the feasibility of using a textile-based stretch sensor with a coverstitch formation integrated into a commercial shirt for monitoring breathing patterns. For comparison, a Respiratory Inductive Plethysmograph (RIP) based breathing system was used. Data from three subjects performing eight different activities were collected in a controlled environment. The performance of the textile sensor was evaluated based on the mean absolute error breathing rate captured using different segment sizes and as the degree of correlation to the RIP sensor. Results showed an average breathing rate error of 0.97+0.42 breaths/epoch for an epoch size of 10s. The average correlation with the RIP sensor signals was p=0.41+0.2. Results suggest that this garment-integrated sensor could be potentially used in the monitoring of breathing rate.
{"title":"Analysis of a coverstitched stretch sensor for monitoring of breathing","authors":"Raul I. Ramos-Garcia, Fernanda Sotrate da Silva, Yashvanth Kondi, E. Sazonov, Lucy E. Dunne","doi":"10.1109/ICSENST.2016.7796258","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796258","url":null,"abstract":"Textile-based sensors are being integrated into garments for the monitoring of physiological signals from the human body. Commonly, textile sensors are implemented through knitting methods, while the response of these sensors from other structures has been less studied. This work analyzed the feasibility of using a textile-based stretch sensor with a coverstitch formation integrated into a commercial shirt for monitoring breathing patterns. For comparison, a Respiratory Inductive Plethysmograph (RIP) based breathing system was used. Data from three subjects performing eight different activities were collected in a controlled environment. The performance of the textile sensor was evaluated based on the mean absolute error breathing rate captured using different segment sizes and as the degree of correlation to the RIP sensor. Results showed an average breathing rate error of 0.97+0.42 breaths/epoch for an epoch size of 10s. The average correlation with the RIP sensor signals was p=0.41+0.2. Results suggest that this garment-integrated sensor could be potentially used in the monitoring of breathing rate.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128627450","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 : 2016-11-01DOI: 10.1109/ICSENST.2016.7796272
J. Ascorbe, J. Corres, F. Arregui, I. Matías
Fabrication and characterization of an optical fiber refractometer based on Lossy Mode Resonances is presented. Tin oxide (SnO2) coatings deposited on cladding etched single mode optical fibers are used as LMR supporting coatings, which are sensitive to the external medium refractive index. These refractometers showed an average sensitivity of 3680 nm/RIU with a dynamic range of 196 nm, for a surrounding medium refractive index range of 1.3339 to 1.3865. Chemical etching of the single mode optical fiber provides a simple method to get access to the evanescent field of light, without affecting the core of the optical fiber and with highly repeatable results on the final dimensions. LMRs have been proved, for the first time, to be a good phenomenon to make this structure sensitive to the surrounding medium refractive index.
{"title":"Cladding etched single mode optical fiber refractometer based on Lossy Mode Resonances","authors":"J. Ascorbe, J. Corres, F. Arregui, I. Matías","doi":"10.1109/ICSENST.2016.7796272","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796272","url":null,"abstract":"Fabrication and characterization of an optical fiber refractometer based on Lossy Mode Resonances is presented. Tin oxide (SnO2) coatings deposited on cladding etched single mode optical fibers are used as LMR supporting coatings, which are sensitive to the external medium refractive index. These refractometers showed an average sensitivity of 3680 nm/RIU with a dynamic range of 196 nm, for a surrounding medium refractive index range of 1.3339 to 1.3865. Chemical etching of the single mode optical fiber provides a simple method to get access to the evanescent field of light, without affecting the core of the optical fiber and with highly repeatable results on the final dimensions. LMRs have been proved, for the first time, to be a good phenomenon to make this structure sensitive to the surrounding medium refractive index.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125327309","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 : 2016-11-01DOI: 10.1109/ICSENST.2016.7796245
Trevor Murphy, N. O’Mahony, Krishna Panduru, D. Riordan, Joseph Walsh
The mass flow measurement of a bulk solid is one of the most common parameters monitored in the materials processing industries and enjoys a wide range of sensory options to accurately quantify the mass flow of a given material. The emergence of Process analytical technology has heightened the demand for such information to be provided to process analysers, in real time and low cost in order to allow for continuous monitoring and control of manufacturing processes. This paper investigates the use of a novel method of mass flow measurement of a bulk solid using a low cost inertia (shock) sensor. Also included in this paper is the techniques employed to successfully integrate the sensor into the test rig in order to achieve favourable test results. A calibrated microwave mass flow sensor was used as reference data to investigate correlation between the sensor outputs located within the test rig. It is the intention of this paper to demonstrate that inertia sensors can be a viable, low cost and simplistic form of mass flow measurement capable of integrating into manufacturing process monitoring and control systems such as PAT.
{"title":"Inertia sensing for bulk solid measurement in process analytical technology systems","authors":"Trevor Murphy, N. O’Mahony, Krishna Panduru, D. Riordan, Joseph Walsh","doi":"10.1109/ICSENST.2016.7796245","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796245","url":null,"abstract":"The mass flow measurement of a bulk solid is one of the most common parameters monitored in the materials processing industries and enjoys a wide range of sensory options to accurately quantify the mass flow of a given material. The emergence of Process analytical technology has heightened the demand for such information to be provided to process analysers, in real time and low cost in order to allow for continuous monitoring and control of manufacturing processes. This paper investigates the use of a novel method of mass flow measurement of a bulk solid using a low cost inertia (shock) sensor. Also included in this paper is the techniques employed to successfully integrate the sensor into the test rig in order to achieve favourable test results. A calibrated microwave mass flow sensor was used as reference data to investigate correlation between the sensor outputs located within the test rig. It is the intention of this paper to demonstrate that inertia sensors can be a viable, low cost and simplistic form of mass flow measurement capable of integrating into manufacturing process monitoring and control systems such as PAT.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126161902","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}
Prediction for deck-motion is a practical measure to improve the landing/taking off safety of carrier-based aircraft when those deck-motions in six-degree freedoms cannot be effectively controlled/restrained. Deck-motions excited by waves and winds own characteristics of randomness and nonlinearity. It is generally believed those classical feed-forward neural networks, such as back propagation networks have excellent nonlinear fitting ability but suffers from slow training speed and local optimum falling which cannot satisfy those real-time and high accuracy requirements for deck-motion. In this paper, a prediction method based on extreme learning machine, support vector machine and particle swarm optimization (PSO-KELM) is introduced to fulfill deck-motion. In this method, the fundamental structure of extreme learning machine is used but the hidden function is substituted the kernel function from support vector machine. Further, aiming to select optimal parameters including penalty coefficient and kernel parameter, auto-adaptive particle swarm optimization is adopted. Simulation results indicate that the prediction method based on PSO-KELM owns advantages of simple structure, fast training speed and good generalization ability, and can obtain high accuracy prediction results when used for deck-motion prediction of air-carrier.
{"title":"A prediction method for deck-motion of air-carrier based on PSO-KELM","authors":"Xixiang Liu, Yongjiang Huang, Qiming Wang, Qing Song, Liye Zhao","doi":"10.1109/ICSENST.2016.7796310","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796310","url":null,"abstract":"Prediction for deck-motion is a practical measure to improve the landing/taking off safety of carrier-based aircraft when those deck-motions in six-degree freedoms cannot be effectively controlled/restrained. Deck-motions excited by waves and winds own characteristics of randomness and nonlinearity. It is generally believed those classical feed-forward neural networks, such as back propagation networks have excellent nonlinear fitting ability but suffers from slow training speed and local optimum falling which cannot satisfy those real-time and high accuracy requirements for deck-motion. In this paper, a prediction method based on extreme learning machine, support vector machine and particle swarm optimization (PSO-KELM) is introduced to fulfill deck-motion. In this method, the fundamental structure of extreme learning machine is used but the hidden function is substituted the kernel function from support vector machine. Further, aiming to select optimal parameters including penalty coefficient and kernel parameter, auto-adaptive particle swarm optimization is adopted. Simulation results indicate that the prediction method based on PSO-KELM owns advantages of simple structure, fast training speed and good generalization ability, and can obtain high accuracy prediction results when used for deck-motion prediction of air-carrier.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127171575","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 : 2016-11-01DOI: 10.1109/ICSENST.2016.7796282
Rundong Han, Tianzheng Wang, Qi Wang, Yaxuan Zheng, Like Dong
In this paper, the thermoelectric coupling finite element model of 150A/75mV shunt and 1000A/75mV shunt were established, and the temperature rises of them when the measuring current was over range were analyzed. The electromagnetic finite element models of shunts were established simultaneously, and the electromagnetic forces on manganin sheets of shunts were analyzed. Then the measurement errors were estimated according to the results of temperature rises and the electromagnetic forces.
{"title":"Analysis of shunt over range measurement errors based on finite element method","authors":"Rundong Han, Tianzheng Wang, Qi Wang, Yaxuan Zheng, Like Dong","doi":"10.1109/ICSENST.2016.7796282","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796282","url":null,"abstract":"In this paper, the thermoelectric coupling finite element model of 150A/75mV shunt and 1000A/75mV shunt were established, and the temperature rises of them when the measuring current was over range were analyzed. The electromagnetic finite element models of shunts were established simultaneously, and the electromagnetic forces on manganin sheets of shunts were analyzed. Then the measurement errors were estimated according to the results of temperature rises and the electromagnetic forces.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"337 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129502047","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 : 2016-11-01DOI: 10.1109/ICSENST.2016.7796279
Wang Yu-tian, Yang Zhe
The ability to accurately and efficiently detect the contents and constituents of petroleum pollutants is important for environment of our ecological system. The fluorescence spectrum technology is applied to petroleum pollutants with high precision. A new type of portable petroleum pollutants fluorescence spectrum detection system based on multichannel sample cells and its optical structure is proposed. It is able to amplify the fluorescence signal without changing the volume of sample cell by increasing the optical path of the detection system using the parallel excitation of multiple microchannel sample cells. Through the experiments, it verifies the effectiveness of the microchannel fluorescence spectrum detection system and shows that the multichannel fluorescence spectroscopy has a stronger signal compared with general fluorescence spectrometer in the same experiment samples under the condition of the spectrum detection performance. It takes us one step closer to the realization of the real-time detection using fluorescence spectroscopy.
{"title":"Research on a new type of portable petroleum pollutants fluorescence spectrum detection system","authors":"Wang Yu-tian, Yang Zhe","doi":"10.1109/ICSENST.2016.7796279","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796279","url":null,"abstract":"The ability to accurately and efficiently detect the contents and constituents of petroleum pollutants is important for environment of our ecological system. The fluorescence spectrum technology is applied to petroleum pollutants with high precision. A new type of portable petroleum pollutants fluorescence spectrum detection system based on multichannel sample cells and its optical structure is proposed. It is able to amplify the fluorescence signal without changing the volume of sample cell by increasing the optical path of the detection system using the parallel excitation of multiple microchannel sample cells. Through the experiments, it verifies the effectiveness of the microchannel fluorescence spectrum detection system and shows that the multichannel fluorescence spectroscopy has a stronger signal compared with general fluorescence spectrometer in the same experiment samples under the condition of the spectrum detection performance. It takes us one step closer to the realization of the real-time detection using fluorescence spectroscopy.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129744502","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}
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