Pub Date : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008864
M. Siddiqui, V. Bhardwaj, A. Saxena, S. Singh
Hetero junction with intrinsic layer (HIT™ is a trademark of Panasonic Ltd.) solar cell technology is a recent technology and has been successfully demonstrated for solar power generation by M/s Panasonic Ltd. In Heterojunction solar cell the junction is formed between amorphous silicon and crystalline silicon wafer. The major advantage of Heterojunction solar cell is that it offers higher Voc because of band bending. The reported highest efficiency of Heterojunction solar cell is 26.6 % by M/s Kaneka Corporation (heterojunction back-contact crystalline silicon solar cell). This paper discuss the processing of HIT cell and their Secondary Ion Mass Spectrometric (SIMS) characterization. The IV curve shows very high series resistance which are explained with the help of SIMS data.
{"title":"Processing of Silicon Heterojunction Solar Cell and Its Secondary Ion Mass Spectrometric Characterization","authors":"M. Siddiqui, V. Bhardwaj, A. Saxena, S. Singh","doi":"10.1109/ICRIEECE44171.2018.9008864","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008864","url":null,"abstract":"Hetero junction with intrinsic layer (HIT™ is a trademark of Panasonic Ltd.) solar cell technology is a recent technology and has been successfully demonstrated for solar power generation by M/s Panasonic Ltd. In Heterojunction solar cell the junction is formed between amorphous silicon and crystalline silicon wafer. The major advantage of Heterojunction solar cell is that it offers higher Voc because of band bending. The reported highest efficiency of Heterojunction solar cell is 26.6 % by M/s Kaneka Corporation (heterojunction back-contact crystalline silicon solar cell). This paper discuss the processing of HIT cell and their Secondary Ion Mass Spectrometric (SIMS) characterization. The IV curve shows very high series resistance which are explained with the help of SIMS data.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129658983","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 concept of automation coupled with advancement in technology and Android based smart phones have resulted in refined and smart lifestyles. When automation as a concept gets implemented via internet of things (IoT) which is concerned with accumulation /aggregation of connectivity, it gives rise to a smarter home network. In this paper, an IoT based prototype of a smart home automation is designed and implemented. The proposed prototype smart home system along with its Android App and ATmega16 as its main controller is successfully implemented and the results of the implementation are presented.
{"title":"Design and Implementation of an Internet of Things based Prototype for Smart Home Automation System","authors":"Kshirod Kumar Rout, Samuchita Mallick, Sivkuinar Mishra","doi":"10.1109/ICRIEECE44171.2018.9008410","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008410","url":null,"abstract":"The concept of automation coupled with advancement in technology and Android based smart phones have resulted in refined and smart lifestyles. When automation as a concept gets implemented via internet of things (IoT) which is concerned with accumulation /aggregation of connectivity, it gives rise to a smarter home network. In this paper, an IoT based prototype of a smart home automation is designed and implemented. The proposed prototype smart home system along with its Android App and ATmega16 as its main controller is successfully implemented and the results of the implementation are presented.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129418546","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 : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008899
D. Kumari, M. N. Giri Prasad, Shaik Mahammad Shakeer
Multiple Input Multiple Output (MIMO) wireless systems are perceived an important reorganization for upcoming wireless systems. The performance of communication systems regarding their spectral efficiency and ability is enhanced as a result of MIMO systems. The required transmit power as for desired Bit Error Rate (BER) has been furnished in combination with appropriate receiver diversity. The study exposed that MIMO is a further efficient energy system since accomplished a decent BER performance at low SNR, when compared with SISO, SIMO and MISO which needs high SNR to accomplish at appropriate BER performances. The multiplexing gain experienced in the multiple antenna strategies utilizing the Space Time Block Code (STBC) and Maximal Ratio Combining (MRC). The impacts of number of transmitter and receiver antennas on the MIMO system’s BER performance over Rayleigh, Rician and Weibull channels with STBC transmitter and MRC receiver is analyzed. The BER performance characteristics of MRC receiver is explored for Quadrature Phase Shift Keying (QPSK) modulation.
{"title":"Performance of MIMO systems using Maximal Ratio Combining over Weibull Fading Channel","authors":"D. Kumari, M. N. Giri Prasad, Shaik Mahammad Shakeer","doi":"10.1109/ICRIEECE44171.2018.9008899","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008899","url":null,"abstract":"Multiple Input Multiple Output (MIMO) wireless systems are perceived an important reorganization for upcoming wireless systems. The performance of communication systems regarding their spectral efficiency and ability is enhanced as a result of MIMO systems. The required transmit power as for desired Bit Error Rate (BER) has been furnished in combination with appropriate receiver diversity. The study exposed that MIMO is a further efficient energy system since accomplished a decent BER performance at low SNR, when compared with SISO, SIMO and MISO which needs high SNR to accomplish at appropriate BER performances. The multiplexing gain experienced in the multiple antenna strategies utilizing the Space Time Block Code (STBC) and Maximal Ratio Combining (MRC). The impacts of number of transmitter and receiver antennas on the MIMO system’s BER performance over Rayleigh, Rician and Weibull channels with STBC transmitter and MRC receiver is analyzed. The BER performance characteristics of MRC receiver is explored for Quadrature Phase Shift Keying (QPSK) modulation.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131035148","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 : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008936
Rajni, C. Rai
This paper incorporates a ℓ0 –norm sparsity constraint into variable step size normalized least mean square (ℓ0 -VSSNLMS) algorithm for identification of sparse system corrupted by additive noise. The proposed ℓ0–VSSNLMS algorithm makes a good fairness between convergence characteristics, filter stability and steady state error. The proposed (ℓ0 -VSSNLMS) algorithm incorporates a variable step size that accelerates the convergence characteristics and lowers the mean square deviation (MSD) error than in ℓ0 - NLMS with constant value of step size. The inclusive theoretical performance of ℓ0 -VSSSNLMS algorithm is analyzed in this paper with white Gaussian input under some assumptions which are suitable for practical purpose. An expression for variant step size is derived under the stability condition of proposed algorithm. Finally the implementation of the proposed algorithm is carried out in MATLAB software to manifest the improved beavior in identification of sparse system.
{"title":"Performance Analysis of ℓ0-Norm Constraint Variable Step Size Normalized Least Mean Square Algorithm","authors":"Rajni, C. Rai","doi":"10.1109/ICRIEECE44171.2018.9008936","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008936","url":null,"abstract":"This paper incorporates a ℓ0 –norm sparsity constraint into variable step size normalized least mean square (ℓ0 -VSSNLMS) algorithm for identification of sparse system corrupted by additive noise. The proposed ℓ0–VSSNLMS algorithm makes a good fairness between convergence characteristics, filter stability and steady state error. The proposed (ℓ0 -VSSNLMS) algorithm incorporates a variable step size that accelerates the convergence characteristics and lowers the mean square deviation (MSD) error than in ℓ0 - NLMS with constant value of step size. The inclusive theoretical performance of ℓ0 -VSSSNLMS algorithm is analyzed in this paper with white Gaussian input under some assumptions which are suitable for practical purpose. An expression for variant step size is derived under the stability condition of proposed algorithm. Finally the implementation of the proposed algorithm is carried out in MATLAB software to manifest the improved beavior in identification of sparse system.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129003642","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 : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008590
R. Kaur, Parveen Singla, Rinkesh Mittal
Wireless networks consists of several nodes which require individual battery or power supply for the purpose of operation. These active nodes lose their respective energy during their respective operations such as to provide communication between various nodes. So, in modern communication system, recharge and replacement of such nodes or their batteries is a challenging task due to their deployment in the remote places. Thus, to get efficient routing criteria and to increase the efficiency of WSN is a major challenging task for researchers, therefore a large number of researches have worked on the concept to increase the lifespan and efficiency of WSNs with different routing protocols. However, there are still a number of issues that require further analysis and investigation. For the purpose of sending and sensing of data, LEACH protocol is one of the widely used protocols and algorithm. The proposed algorithm or technique use cluster forming technique which is based on formation of several clusters during different events, cluster head selection, aggregation of the efficient and sensed data within desired cluster and sending that particular data to base station in a manner to maintain both energy and efficiency of system. In this paper, we analyzed the complexity of entire networks in the terms of various packet send to BS, number of dead nodes created during the operation and sum of energy of several nodes of entire network. Several experimental results are carried out to show the complexity of packets, detection of dead nodes and energy of network with different number of nodes.
{"title":"Simulative Investigation of Wireless Sensor Network with the Deployment of Different Number of Nodes","authors":"R. Kaur, Parveen Singla, Rinkesh Mittal","doi":"10.1109/ICRIEECE44171.2018.9008590","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008590","url":null,"abstract":"Wireless networks consists of several nodes which require individual battery or power supply for the purpose of operation. These active nodes lose their respective energy during their respective operations such as to provide communication between various nodes. So, in modern communication system, recharge and replacement of such nodes or their batteries is a challenging task due to their deployment in the remote places. Thus, to get efficient routing criteria and to increase the efficiency of WSN is a major challenging task for researchers, therefore a large number of researches have worked on the concept to increase the lifespan and efficiency of WSNs with different routing protocols. However, there are still a number of issues that require further analysis and investigation. For the purpose of sending and sensing of data, LEACH protocol is one of the widely used protocols and algorithm. The proposed algorithm or technique use cluster forming technique which is based on formation of several clusters during different events, cluster head selection, aggregation of the efficient and sensed data within desired cluster and sending that particular data to base station in a manner to maintain both energy and efficiency of system. In this paper, we analyzed the complexity of entire networks in the terms of various packet send to BS, number of dead nodes created during the operation and sum of energy of several nodes of entire network. Several experimental results are carried out to show the complexity of packets, detection of dead nodes and energy of network with different number of nodes.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126096215","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 : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9009178
Meghna Misra, Ajaykumar Yadav, Harkiran Kaur
Predicting the stock market has been an area of interest not only for traders but also for the computer engineers. Predictions can be performed by mainly two means, one by using previous data available against the stock and the other by analysing the social media information. Predictions based on previous data lack accuracy due to changing patterns in the stock market al.so, some fields might have been missed due to their insignificance in some stocks or unavailability of data. For example, some models may require ‘return rate’ as a parameter for stock prediction, but the available data might not have it. On the other hand, a model predicting only on the basis of the return rate may find opening and closing price to be insignificant parameters. The data has to be cleansed before it can be used for predictions. This paper focuses on categorising various methods used for predictive analytics in different domains to date, their shortcomings. Further, the authors of this paper have suggested some improvements that could be incorporated to achieve better accuracy in these approaches.
{"title":"Stock Market Prediction using Machine Learning Algorithms: A Classification Study","authors":"Meghna Misra, Ajaykumar Yadav, Harkiran Kaur","doi":"10.1109/ICRIEECE44171.2018.9009178","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9009178","url":null,"abstract":"Predicting the stock market has been an area of interest not only for traders but also for the computer engineers. Predictions can be performed by mainly two means, one by using previous data available against the stock and the other by analysing the social media information. Predictions based on previous data lack accuracy due to changing patterns in the stock market al.so, some fields might have been missed due to their insignificance in some stocks or unavailability of data. For example, some models may require ‘return rate’ as a parameter for stock prediction, but the available data might not have it. On the other hand, a model predicting only on the basis of the return rate may find opening and closing price to be insignificant parameters. The data has to be cleansed before it can be used for predictions. This paper focuses on categorising various methods used for predictive analytics in different domains to date, their shortcomings. Further, the authors of this paper have suggested some improvements that could be incorporated to achieve better accuracy in these approaches.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126684448","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 : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008454
A. K. Dewangan, I. Panigrahi, R. Paramguru
Development of high efficient ecofriendly means of transportation in water bodies without harming the aquatic life is discussed in this paper. History is witness that the traditional means of transportation in water bodies has created lots of pollution and along with that it has affected the life under water. To solve this problem a four passenger capacity Solar Electric Boat is designed, developed, tested and practically demonstrated to public. It operates under completely natural and renewable source of solar energy beside unique design of its hull preserves aquatic life.
{"title":"Development of Energy Efficient and Aquatic friendly Solar Electric Boat","authors":"A. K. Dewangan, I. Panigrahi, R. Paramguru","doi":"10.1109/ICRIEECE44171.2018.9008454","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008454","url":null,"abstract":"Development of high efficient ecofriendly means of transportation in water bodies without harming the aquatic life is discussed in this paper. History is witness that the traditional means of transportation in water bodies has created lots of pollution and along with that it has affected the life under water. To solve this problem a four passenger capacity Solar Electric Boat is designed, developed, tested and practically demonstrated to public. It operates under completely natural and renewable source of solar energy beside unique design of its hull preserves aquatic life.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114304168","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 : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9009286
M. K. Reddy, S. Gunturi, D. Elangovan
This paper deals with designing a simulation model of test setup for deriving information for analyzing the discharging characteristics of a battery in accordance with a predefined discharging profile. As an initial step, in order to determine the parameters from the discharging circuit, the requirements of the batteries were collected. A DC-DC boost converter of 4 kW input power and maximum input current of 100 A is designed for discharging the source battery in a controlled manner using PI controller. From a variable input voltage, boost converter is able to step-up the input voltage to a higher constant dc output voltage using feedback technique. The resistive load is used initially and later the dc motor load is used as a variable load. The constant output voltage of 50 V is obtained. The simulation is done using MATLAB/ SIMULINK. The final outcomes are determining the suitable loads for discharging battery and obtaining the regulated output voltage.
{"title":"Analysis and Design of Discharging Circuit for Auxiliary Battery Systems in EVs","authors":"M. K. Reddy, S. Gunturi, D. Elangovan","doi":"10.1109/ICRIEECE44171.2018.9009286","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9009286","url":null,"abstract":"This paper deals with designing a simulation model of test setup for deriving information for analyzing the discharging characteristics of a battery in accordance with a predefined discharging profile. As an initial step, in order to determine the parameters from the discharging circuit, the requirements of the batteries were collected. A DC-DC boost converter of 4 kW input power and maximum input current of 100 A is designed for discharging the source battery in a controlled manner using PI controller. From a variable input voltage, boost converter is able to step-up the input voltage to a higher constant dc output voltage using feedback technique. The resistive load is used initially and later the dc motor load is used as a variable load. The constant output voltage of 50 V is obtained. The simulation is done using MATLAB/ SIMULINK. The final outcomes are determining the suitable loads for discharging battery and obtaining the regulated output voltage.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122799868","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 : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008581
Vilas S. Bugade, P. K. Katti
The post-parthenon in electrical power system is prominence on demand side management for grid integration with renewable energy sources (RES’s) in the form of distributed generation (DG). At a fleeting look system up gradation predominantly focuses on grid integration of multiple energy sources. This paper presents the design and development topology for multiple sources of energy like solar PV, wind energy etc. for three phase grid integration. It is in consideration with an optimal power flow analysis of these sources. The real time monitoring, controlling and protection is provided through digital signal processor (DSP) and switch gear. All the power system parameters (voltage, current, temperature etc.) are displayed on display unit through parallel port controller area network bus (CANBUS). These parameters are vital for synchronizing of voltage, frequency and waveform at point of common coupling (PCC) at the time of grid integration with RES. Also these are expedient for the switching of protective devices. For remotely monitoring and control an Ethernet port are implemented with the provision of GSM in it. Finally with these features testing is conceded for linear and dynamic loading.
{"title":"Development of Electrical Energy Generation Based Uninterrupted Operation for Grid Integration of Utility using RES","authors":"Vilas S. Bugade, P. K. Katti","doi":"10.1109/ICRIEECE44171.2018.9008581","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008581","url":null,"abstract":"The post-parthenon in electrical power system is prominence on demand side management for grid integration with renewable energy sources (RES’s) in the form of distributed generation (DG). At a fleeting look system up gradation predominantly focuses on grid integration of multiple energy sources. This paper presents the design and development topology for multiple sources of energy like solar PV, wind energy etc. for three phase grid integration. It is in consideration with an optimal power flow analysis of these sources. The real time monitoring, controlling and protection is provided through digital signal processor (DSP) and switch gear. All the power system parameters (voltage, current, temperature etc.) are displayed on display unit through parallel port controller area network bus (CANBUS). These parameters are vital for synchronizing of voltage, frequency and waveform at point of common coupling (PCC) at the time of grid integration with RES. Also these are expedient for the switching of protective devices. For remotely monitoring and control an Ethernet port are implemented with the provision of GSM in it. Finally with these features testing is conceded for linear and dynamic loading.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126645011","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 : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008605
S. Panda, D. Mishra, S. Dash
This paper presents application of ANFIS and ANN in fault classification and location in a long transmission line. Compared to other methods, Machine Learning techniques based on artificial intelligence perform the best in fault classification and finding its location. Most frequently used ML techniques for this purpose are ANFIS and ANN. Both the techniques were able not only to identify fault type but also to find the fault location in the transmission line very accurately using source end current and voltage data. Common training and testing data was used for ANFIS and ANN. This data was obtained from simulation of faults in a long transmission line model using MATLAB. Error analysis and comparison of both the techniques is also presented in this paper. A GUI was designed for comparison of both the methods.
{"title":"Comparison of ANFIS and ANN Techniques in Fault Classification and Location in Long Transmission Lines","authors":"S. Panda, D. Mishra, S. Dash","doi":"10.1109/ICRIEECE44171.2018.9008605","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008605","url":null,"abstract":"This paper presents application of ANFIS and ANN in fault classification and location in a long transmission line. Compared to other methods, Machine Learning techniques based on artificial intelligence perform the best in fault classification and finding its location. Most frequently used ML techniques for this purpose are ANFIS and ANN. Both the techniques were able not only to identify fault type but also to find the fault location in the transmission line very accurately using source end current and voltage data. Common training and testing data was used for ANFIS and ANN. This data was obtained from simulation of faults in a long transmission line model using MATLAB. Error analysis and comparison of both the techniques is also presented in this paper. A GUI was designed for comparison of both the methods.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127362670","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：