Political focus has in recent years focused on climate and energy efficiency as part of the global goals of a fossil-free future. The introduction of the term industry 4.0, the fourth industrial revolution, provides a solution. Industry 4.0 seeks to combine the real and virtual space to achieve maximum efficiency and autonomy. This paper aims to investigate the energy efficiency potentials in the industrial production processes with a case study of a large commercial greenhouse grower in Denmark. The discrete event simulation software- Arena is used in this study for performing the simulations of the greenhouse production. The simulation results in the total yearly electricity consumption of 1,970.83 MWh. This paper finds that there is not big energy efficiency potential in the greenhouse production process without response to the hourly electricity price signals, and the results indicate a bottleneck at the transportation from the arrival and cutting station.
{"title":"Optimization of Greenhouse Production Process: An Investigation of Energy Efficiency Potentials","authors":"Zheng Ma, Jonas Korsgaard, B. Jørgensen","doi":"10.1109/DSA.2019.00056","DOIUrl":"https://doi.org/10.1109/DSA.2019.00056","url":null,"abstract":"Political focus has in recent years focused on climate and energy efficiency as part of the global goals of a fossil-free future. The introduction of the term industry 4.0, the fourth industrial revolution, provides a solution. Industry 4.0 seeks to combine the real and virtual space to achieve maximum efficiency and autonomy. This paper aims to investigate the energy efficiency potentials in the industrial production processes with a case study of a large commercial greenhouse grower in Denmark. The discrete event simulation software- Arena is used in this study for performing the simulations of the greenhouse production. The simulation results in the total yearly electricity consumption of 1,970.83 MWh. This paper finds that there is not big energy efficiency potential in the greenhouse production process without response to the hourly electricity price signals, and the results indicate a bottleneck at the transportation from the arrival and cutting station.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134562484","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}
Image edge detection technology is very important in the field of digital image processing, which is widely used in many fields,such as computer graphics processing, target matching, machine recognition, traffic control, national defense security and so on [1].Because of the complicated calculation steps of the image edge detection algorithm and the high processing speed requirements, it is difficult to meet the requirements only by software method, which is a problem of image edge detection. The design of FPGA can effectively solve the above disadvantages due to its parallelism and real-time performance, but the traditional FPGA development needs to master the hardware description language such as Verilog or VHDL design, which has long development cycles and high costs. In order to solve the above disadvantages effectively, this paper presents a method that using C and C++ language to develop Sobel algorithm by Vivado HLS(short for High Level Synthesis). The method can be implemented in FPGA design after High Level Synthesis, and provide a new design idea for software developers who are not familiar with the HDL language. Verified by theoretical analysis and simulation, using this algorithm can achieve a good image edge detection effect.
{"title":"Research on Design and Verification of Sobel Image Edge Detection Based on High Level Synthesis","authors":"Pan Chen, Ying Wang, Junhua Xing","doi":"10.1109/DSA.2019.00080","DOIUrl":"https://doi.org/10.1109/DSA.2019.00080","url":null,"abstract":"Image edge detection technology is very important in the field of digital image processing, which is widely used in many fields,such as computer graphics processing, target matching, machine recognition, traffic control, national defense security and so on [1].Because of the complicated calculation steps of the image edge detection algorithm and the high processing speed requirements, it is difficult to meet the requirements only by software method, which is a problem of image edge detection. The design of FPGA can effectively solve the above disadvantages due to its parallelism and real-time performance, but the traditional FPGA development needs to master the hardware description language such as Verilog or VHDL design, which has long development cycles and high costs. In order to solve the above disadvantages effectively, this paper presents a method that using C and C++ language to develop Sobel algorithm by Vivado HLS(short for High Level Synthesis). The method can be implemented in FPGA design after High Level Synthesis, and provide a new design idea for software developers who are not familiar with the HDL language. Verified by theoretical analysis and simulation, using this algorithm can achieve a good image edge detection effect.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115298539","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}
This paper proposes a double weighted KNN algorithm, and applies it to the research of music genre automatic classification. This algorithm makes improvements in two aspects in the traditional KNN algorithm, which can effectively solve the problem that traditional KNN algorithm ignores the degree of correlation between attributes and categories in the classification process, and the problem that it only considers the number of the nearest samples and ignores the existence of similarity differences between the nearest samples and the samples to be classified in the process of category judgment, thus can effectively improve the classification accuracy. In this paper, this algorithm is applied to the music genre classification, and experiments prove that the algorithm can achieve higher classification accuracy in terms of music genre classification, and even has a better classification performance especially where there is no obvious difference between some of the categories and in the situation of crosscategory, and this algorithm is simple and symmetrical, with no complex dependency, high calculation efficiency, and adaptable to the demand of mass music data classification.
{"title":"A Double Weighted KNN Algorithm and Its Application in the Music Genre Classification","authors":"Meimei Wu, Xingli Liu","doi":"10.1109/DSA.2019.00051","DOIUrl":"https://doi.org/10.1109/DSA.2019.00051","url":null,"abstract":"This paper proposes a double weighted KNN algorithm, and applies it to the research of music genre automatic classification. This algorithm makes improvements in two aspects in the traditional KNN algorithm, which can effectively solve the problem that traditional KNN algorithm ignores the degree of correlation between attributes and categories in the classification process, and the problem that it only considers the number of the nearest samples and ignores the existence of similarity differences between the nearest samples and the samples to be classified in the process of category judgment, thus can effectively improve the classification accuracy. In this paper, this algorithm is applied to the music genre classification, and experiments prove that the algorithm can achieve higher classification accuracy in terms of music genre classification, and even has a better classification performance especially where there is no obvious difference between some of the categories and in the situation of crosscategory, and this algorithm is simple and symmetrical, with no complex dependency, high calculation efficiency, and adaptable to the demand of mass music data classification.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"30 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115423846","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}
In Ethereum, reaching a transaction consensus costs a certain number of gases, which should be purchased by users in their self-defined gas prices. Generally, the higher the gas price, the shorter the time is spent on reaching consensus. Since the transaction gas prices still vary greatly in a block, generating a reasonable price that can make a trade-off between the consensus time and the gases cost is of great significance. In this paper, we propose a Machine Learning Regression-based gas price predicting approach (MLR), aiming to find the lowest transaction gas price in the next block for carrying out economical Ethereum transaction. Specifically, we identify five influencing factors (i.e., difficulty, block gas limit, transaction gas limit, ether price, and miner reward) from the Ethereum transacting process and resort the classic machine learning regression to build the predicting model. Our empirical study on 194,331 blocks implies that the proposed MLR approach works well and can save $17,552.2 for all transactions in the 74.9% accuracy.
{"title":"Effective GasPrice Prediction for Carrying Out Economical Ethereum Transaction","authors":"Fangxiao Liu, Xingya Wang, Zixin Li, Jiehui Xu, Yubin Gao","doi":"10.1109/DSA.2019.00050","DOIUrl":"https://doi.org/10.1109/DSA.2019.00050","url":null,"abstract":"In Ethereum, reaching a transaction consensus costs a certain number of gases, which should be purchased by users in their self-defined gas prices. Generally, the higher the gas price, the shorter the time is spent on reaching consensus. Since the transaction gas prices still vary greatly in a block, generating a reasonable price that can make a trade-off between the consensus time and the gases cost is of great significance. In this paper, we propose a Machine Learning Regression-based gas price predicting approach (MLR), aiming to find the lowest transaction gas price in the next block for carrying out economical Ethereum transaction. Specifically, we identify five influencing factors (i.e., difficulty, block gas limit, transaction gas limit, ether price, and miner reward) from the Ethereum transacting process and resort the classic machine learning regression to build the predicting model. Our empirical study on 194,331 blocks implies that the proposed MLR approach works well and can save $17,552.2 for all transactions in the 74.9% accuracy.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125035731","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}
In order to overcome the problem of low stability in the traditional islanded microgrid virtual synchronous generator power decoupling method, a new islanded microgrid virtual synchronous generator power decoupling method is designed. After the stability of islanded microgrid, the decoupling method of active power and reactive power output of virtual synchronous generator is designed based on the principle of compensation of output current and voltage. Experimental results show that the decoupling method designed in this paper has high stability and reliability.
{"title":"Research on Power Decoupling Method of Virtual Synchronous Generator in Islanded Microgrid","authors":"Haoran Li","doi":"10.1109/DSA.2019.00097","DOIUrl":"https://doi.org/10.1109/DSA.2019.00097","url":null,"abstract":"In order to overcome the problem of low stability in the traditional islanded microgrid virtual synchronous generator power decoupling method, a new islanded microgrid virtual synchronous generator power decoupling method is designed. After the stability of islanded microgrid, the decoupling method of active power and reactive power output of virtual synchronous generator is designed based on the principle of compensation of output current and voltage. Experimental results show that the decoupling method designed in this paper has high stability and reliability.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123530189","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}
The residual stress structure strength of shot peening on aluminum alloy surface is follow-up, so it is necessary to etTectively detect the residual stress structure strength, reduce the installation error and improve the mechanical strength. A numerical simulation method of shot peening residual stress on aluminum alloy surface based on fmite element analysis and thermoelastic deformation estimation is proposed. The elastic hydrodynamic pressure model of shot peening on aluminum alloy surface is constructed, the thermal expansion coefficient of shot peening line on aluminum alloy surface is calculated, the relationship among the load, mechanical yield response and stress strength of shot peening on aluminum alloy surface is analyzed, the flexible factors of shot peening on aluminum alloy surface are considered, the stress characteristic response evaluation model is used to carry on the stress test, and the stress detection of shot peening edge profile on aluminum alloy surface is carried out according to the mechanical properties of the mechanism. According to the thermoelastic deformation estimation results, the residual stress structure strength state and the residual stress numerical parameter estimation of shot peening on aluminum alloy surface are carried out, and the optimal detection of residual stress structure strength is realized. The simulation results show that the numerical simulation of residual stress on aluminum alloy surface is accurate, the analysis time is shortened, and the evaluation accuracy of shot peening parameters on each aluminum alloy surface is high, and the mechanical strength is improved(Abstrac().
{"title":"Numerical Simulation Analysis of Shot Peening Residual Stress on Aluminum Alloy Surface Based on Finite Element Method","authors":"Xiaodong Li, C. Jiang","doi":"10.1109/DSA.2019.00030","DOIUrl":"https://doi.org/10.1109/DSA.2019.00030","url":null,"abstract":"The residual stress structure strength of shot peening on aluminum alloy surface is follow-up, so it is necessary to etTectively detect the residual stress structure strength, reduce the installation error and improve the mechanical strength. A numerical simulation method of shot peening residual stress on aluminum alloy surface based on fmite element analysis and thermoelastic deformation estimation is proposed. The elastic hydrodynamic pressure model of shot peening on aluminum alloy surface is constructed, the thermal expansion coefficient of shot peening line on aluminum alloy surface is calculated, the relationship among the load, mechanical yield response and stress strength of shot peening on aluminum alloy surface is analyzed, the flexible factors of shot peening on aluminum alloy surface are considered, the stress characteristic response evaluation model is used to carry on the stress test, and the stress detection of shot peening edge profile on aluminum alloy surface is carried out according to the mechanical properties of the mechanism. According to the thermoelastic deformation estimation results, the residual stress structure strength state and the residual stress numerical parameter estimation of shot peening on aluminum alloy surface are carried out, and the optimal detection of residual stress structure strength is realized. The simulation results show that the numerical simulation of residual stress on aluminum alloy surface is accurate, the analysis time is shortened, and the evaluation accuracy of shot peening parameters on each aluminum alloy surface is high, and the mechanical strength is improved(Abstrac().","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":" 48","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120937346","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}
With the rapid development of higher education, the shortage of funds for infrastructure construction in local colleges and universities is becoming increasingly prominent. Therefore, many local colleges and universities actively seek new channels to use social funds to complete infrastructure construction and the financing model of BOT project came into being in the project of infrastructure construction in local colleges and universities. This paper mainly studies the measures of advanced buyback of BOT project in local colleges and universities with the construction projects of student apartment as examples, which constructs the early repurchase clause of BOT project on the base of the reasonable rate of return of investors, which is calculated with the capital asset pricing model (CAPM) and other methods, and which demonstrates the feasibility of the design of this clause from the perspective of investors and local universities.
{"title":"Research on the Design of Early Repurchase Clause of BOT Project in Local Colleges and Universities","authors":"Dan Zheng, Xianhong Xu","doi":"10.1109/DSA.2019.00078","DOIUrl":"https://doi.org/10.1109/DSA.2019.00078","url":null,"abstract":"With the rapid development of higher education, the shortage of funds for infrastructure construction in local colleges and universities is becoming increasingly prominent. Therefore, many local colleges and universities actively seek new channels to use social funds to complete infrastructure construction and the financing model of BOT project came into being in the project of infrastructure construction in local colleges and universities. This paper mainly studies the measures of advanced buyback of BOT project in local colleges and universities with the construction projects of student apartment as examples, which constructs the early repurchase clause of BOT project on the base of the reasonable rate of return of investors, which is calculated with the capital asset pricing model (CAPM) and other methods, and which demonstrates the feasibility of the design of this clause from the perspective of investors and local universities.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131003572","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}
Nan Jiang, Sai Huang, Yifan Zhao, Yuanyuan Yao, Z. Feng, Gang Deng
In cognitive radio networks, the secondary users perceive the spectrum and access it to data transmission when the primary users are absent. Then in the cognitive radio enabled vehicular ad-hoc networks (CR-VANETs), the secondary users and the primary users are the secondary intelligent vehicles and the primary intelligent vehicles, respectively. In this paper, we propose the joint radar and communication system in the CRVANET, making that the radar module of the secondary user perceives the whole driving enviromuent periodically and uses the spectrum to communication if no one is detected. Then we study the tradeoff problem between radar sensing and throughput of the secondary user. Numerical results and simulations prove that when the frame duration is lOms, the total power of the secondaryuseris 20W and the detection probabilityis 99.9%, the optimal radar sensing time and radar module power achieving the maximum throughput are O.07ms and 7.5W, respectively.
{"title":"Joint Power Control and Time Allocation for Joint Radar and Communication System in Cognitive Radio Enabled Vehicular Ad-hoc Networks","authors":"Nan Jiang, Sai Huang, Yifan Zhao, Yuanyuan Yao, Z. Feng, Gang Deng","doi":"10.1109/DSA.2019.00075","DOIUrl":"https://doi.org/10.1109/DSA.2019.00075","url":null,"abstract":"In cognitive radio networks, the secondary users perceive the spectrum and access it to data transmission when the primary users are absent. Then in the cognitive radio enabled vehicular ad-hoc networks (CR-VANETs), the secondary users and the primary users are the secondary intelligent vehicles and the primary intelligent vehicles, respectively. In this paper, we propose the joint radar and communication system in the CRVANET, making that the radar module of the secondary user perceives the whole driving enviromuent periodically and uses the spectrum to communication if no one is detected. Then we study the tradeoff problem between radar sensing and throughput of the secondary user. Numerical results and simulations prove that when the frame duration is lOms, the total power of the secondaryuseris 20W and the detection probabilityis 99.9%, the optimal radar sensing time and radar module power achieving the maximum throughput are O.07ms and 7.5W, respectively.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124304658","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}
The overperforming enormous number of Automated Guided Vehicles (AGV) that have been adopted in warehouses recently proved their capabilities of speeding up the parcel exchange process in comparing with human capabilities. In order to increase the overall performance of these AGVs, we introduced an Artificial Intelligence (AI) based processing unit for the purpose of enhancing the collaborative diagnostics and decision making in such applications by exchanging feedback data frames to the center hub. The proposed AI-based controller is based on a multi-core Fuzzy Logic System (FLS) is to differentiate the level of collision probability in a Cyber Physical System (CPS) using asymmetric data bus width architecture. The proposed systolic FLS architecture in this paper has been designed using VHDL to be interfaced with a three TFmini Plus Lidar Sensors and three MaxSonar ultrasonic sensors using the Intel Altera OpenVINO FPGA board. The proposed systolic FLS processing unit achieved a processing computational speed of about 14.36 GOPS at maximum operating frequency of 270.86 MHz while consuming about 58.56 mW as a core dynamic thermal power dissipation and around 28.38 mW as a 1/0 thermal power dissipation.
最近，在仓库中大量使用的自动导引车(AGV)表现优异，证明了与人类相比，它们能够加快包裹交换过程。为了提高这些agv的整体性能，我们引入了一个基于人工智能(AI)的处理单元，目的是通过向中心集线器交换反馈数据帧来增强此类应用中的协同诊断和决策。提出了一种基于多核模糊逻辑系统(FLS)的人工智能控制器，利用非对称数据总线宽度架构来区分网络物理系统(CPS)中的碰撞概率级别。本文提出的收缩FLS架构使用VHDL设计，并使用Intel Altera OpenVINO FPGA板与三个TFmini Plus激光雷达传感器和三个MaxSonar超声波传感器进行接口。所提出的收缩FLS处理单元在最大工作频率为270.86 MHz时，处理计算速度约为14.36 GOPS，核心动态热功耗约为58.56 mW, 1/0热功耗约为28.38 mW。
{"title":"FLS-Based Collision Avoidance Cyber Physical System for Warehouse Robots using FPGA","authors":"Hossam O. Ahmed","doi":"10.1109/DSA.2019.00040","DOIUrl":"https://doi.org/10.1109/DSA.2019.00040","url":null,"abstract":"The overperforming enormous number of Automated Guided Vehicles (AGV) that have been adopted in warehouses recently proved their capabilities of speeding up the parcel exchange process in comparing with human capabilities. In order to increase the overall performance of these AGVs, we introduced an Artificial Intelligence (AI) based processing unit for the purpose of enhancing the collaborative diagnostics and decision making in such applications by exchanging feedback data frames to the center hub. The proposed AI-based controller is based on a multi-core Fuzzy Logic System (FLS) is to differentiate the level of collision probability in a Cyber Physical System (CPS) using asymmetric data bus width architecture. The proposed systolic FLS architecture in this paper has been designed using VHDL to be interfaced with a three TFmini Plus Lidar Sensors and three MaxSonar ultrasonic sensors using the Intel Altera OpenVINO FPGA board. The proposed systolic FLS processing unit achieved a processing computational speed of about 14.36 GOPS at maximum operating frequency of 270.86 MHz while consuming about 58.56 mW as a core dynamic thermal power dissipation and around 28.38 mW as a 1/0 thermal power dissipation.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122791512","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}
How to find the cable fault point quickly and accurately and restore the power supply as soon as possible has become a difficult problem for power supply enterprises. Therefore, a fault detection method based on SSTDR is designed in this paper. The principle of SSTDR technology is analyzed. Based on the distance measurement of signal, the PN code is modulated by cosine signal, which makes the test signal have the white noise characteristic of mean value 0, and has stronger anti-interference ability. It can detect the fault point of low-voltage cable under the condition of low SNR. In the simulation experiment, the fault problems of the low-voltage cable in open and short circuit are detected respectively, which verifies the effectiveness of the SSTDR technology and makes a contribution to the safe use of the low-voltage cable(Abstract).
{"title":"Detection Method of Low Voltage Cable Fault Point Based on SSTDR Technology","authors":"Hua Zhao, Cheng Xian, Ying Yu, Faqiang Zhao","doi":"10.1109/DSA.2019.00026","DOIUrl":"https://doi.org/10.1109/DSA.2019.00026","url":null,"abstract":"How to find the cable fault point quickly and accurately and restore the power supply as soon as possible has become a difficult problem for power supply enterprises. Therefore, a fault detection method based on SSTDR is designed in this paper. The principle of SSTDR technology is analyzed. Based on the distance measurement of signal, the PN code is modulated by cosine signal, which makes the test signal have the white noise characteristic of mean value 0, and has stronger anti-interference ability. It can detect the fault point of low-voltage cable under the condition of low SNR. In the simulation experiment, the fault problems of the low-voltage cable in open and short circuit are detected respectively, which verifies the effectiveness of the SSTDR technology and makes a contribution to the safe use of the low-voltage cable(Abstract).","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124027984","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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