Relevant bibliographies by topics / Transmission lines/fault detection

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Transmission lines/fault detection'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Transmission lines/fault detection"

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Al Kazzaz, Sa’ad Ahmed S., Ibrahim Ismaeel, and Karam Khairullah Mohammed. "Fault detection and location of power transmission lines using intelligent distance relay." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 2 (2020): 726. http://dx.doi.org/10.11591/ijpeds.v11.i2.pp726-734.

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The aim of this paper is to design a three-phase distance relay using an adaptive neuro-fuzzy inference system algorithm (ANFIS). The proposed relay is used to protect the power transmission lines where they are subjected to faults continuously. These faults may produce a high electric current which leads to high damage in power system equipment. The relay is used to detect the transmission line faults by measuring the voltage and current values for each phase. The line impedance is then calculated to detect the faults and issue instantaneous trip signal to circuit breaker, to separate the fau
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Radojević, Zoran, Joong-Rin Shin, Jong-Bae Park, and Chan-Joo Lee. "ARCING FAULT DETECTION AND FAULT LOCATION ON HV TRANSMISSION LINES." IFAC Proceedings Volumes 38, no. 1 (2005): 245–49. http://dx.doi.org/10.3182/20050703-6-cz-1902.01769.

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Han, Jiaming, Zhong Yang, Qiuyan Zhang, et al. "A Method of Insulator Faults Detection in Aerial Images for High-Voltage Transmission Lines Inspection." Applied Sciences 9, no. 10 (2019): 2009. http://dx.doi.org/10.3390/app9102009.

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Insulator faults detection is an important task for high-voltage transmission line inspection. However, current methods often suffer from the lack of accuracy and robustness. Moreover, these methods can only detect one fault in the insulator string, but cannot detect a multi-fault. In this paper, a novel method is proposed for insulator one fault and multi-fault detection in UAV-based aerial images, the backgrounds of which usually contain much complex interference. The shapes of the insulators also vary obviously due to the changes in filming angle and distance. To reduce the impact of comple
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Swetapadma, Aleena, and Anamika Yadav. "Fuzzy Inference System Approach for Locating Series, Shunt, and Simultaneous Series-Shunt Faults in Double Circuit Transmission Lines." Computational Intelligence and Neuroscience 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/620360.

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Many schemes are reported for shunt fault location estimation, but fault location estimation of series or open conductor faults has not been dealt with so far. The existing numerical relays only detect the open conductor (series) fault and give the indication of the faulty phase(s), but they are unable to locate the series fault. The repair crew needs to patrol the complete line to find the location of series fault. In this paper fuzzy based fault detection/classification and location schemes in time domain are proposed for both series faults, shunt faults, and simultaneous series and shunt fa
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Pavlatos, Christos, Vasiliki Vita, Alexandros C. Dimopoulos, and Lambros Ekonomou. "Transmission lines’ fault detection using syntactic pattern recognition." Energy Systems 10, no. 2 (2018): 299–320. http://dx.doi.org/10.1007/s12667-018-0284-x.

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Liu, Jingjing, Chuanyang Liu, Yiquan Wu, Huajie Xu, and Zuo Sun. "An Improved Method Based on Deep Learning for Insulator Fault Detection in Diverse Aerial Images." Energies 14, no. 14 (2021): 4365. http://dx.doi.org/10.3390/en14144365.

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Insulators play a significant role in high-voltage transmission lines, and detecting insulator faults timely and accurately is important for the safe and stable operation of power grids. Since insulator faults are extremely small and the backgrounds of aerial images are complex, insulator fault detection is a challenging task for automatically inspecting transmission lines. In this paper, a method based on deep learning is proposed for insulator fault detection in diverse aerial images. Firstly, to provide sufficient insulator fault images for training, a novel insulator fault dataset named “I
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Kulshrestha, Atul, Om Prakash Mahela, Mukesh Kumar Gupta, Baseem Khan, Hassan Haes Alhelou, and Pierluigi Siano. "Hybridization of the Stockwell Transform and Wigner Distribution Function to Design a Transmission Line Protection Scheme." Applied Sciences 10, no. 22 (2020): 7985. http://dx.doi.org/10.3390/app10227985.

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The complexity of power system networks is increasing continuously due to the addition of high capacity transmission lines. Faults on these lines may deteriorate the power flow pattern in the network. This can be avoided by the use of effective protection schemes. This paper presents an algorithm for detecting and classifying faults on the transmission network. Fault detection is achieved by utilizing the fault index, which depends on a combination of characteristics extracted from the current signal by the application of the Stockwell transform and Wigner distribution function (WDF). Various
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Liu, Chuanyang, Yiquan Wu, Jingjing Liu, Zuo Sun, and Huajie Xu. "Insulator Faults Detection in Aerial Images from High-Voltage Transmission Lines Based on Deep Learning Model." Applied Sciences 11, no. 10 (2021): 4647. http://dx.doi.org/10.3390/app11104647.

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Insulator fault detection is one of the essential tasks for high-voltage transmission lines’ intelligent inspection. In this study, a modified model based on You Only Look Once (YOLO) is proposed for detecting insulator faults in aerial images with a complex background. Firstly, aerial images with one fault or multiple faults are collected in diverse scenes, and then a novel dataset is established. Secondly, to increase feature reuse and propagation in the low-resolution feature layers, a Cross Stage Partial Dense YOLO (CSPD-YOLO) model is proposed based on YOLO-v3 and the Cross Stage Partial
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V, Bindhu, and Ranganathan G. "Effective Automatic Fault Detection in Transmission Lines by Hybrid Model of Authorization and Distance Calculation through Impedance Variation." March 2021 3, no. 1 (2021): 36–48. http://dx.doi.org/10.36548/jei.2021.1.004.

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Fault detection in the transmission is a challenging task when examining the accuracy of the system. This fault can be caused by a man-made force or by using concurrent overvoltage in the power distribution line. This research focuses on two sections to handle the power transmission line problem and can be rectified as previously stated. An intelligent approach is utilized for monitoring and controlling line faults in order to improve the accuracy of the equipment in transmission line fault detection. After several iterations of the procedure, the combination of line and master unit improves t
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Adly, Ahmed R., Ragab El Sehiemy, Mahmoud A. Elsadd, and Almoataz Y. Abdelaziz. "A novel wavelet packet transform based fault identification procedures in HV transmission line based on current signals." International Journal of Applied Power Engineering (IJAPE) 8, no. 1 (2019): 11. http://dx.doi.org/10.11591/ijape.v8.i1.pp11-21.

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<p>This paper presents an adaptive fault identification algorithm bases on wavelet packet transform (WPT) for two-terminal power transmission lines. The proposed scheme performs four functions which are the fault detection, fault classification, distinguishing among the temporary and the permanent faults, and detection of the arc extinguish instant. The presented algorithm only uses the measured current at one terminal reducing the required cost. Also, it can mitigate the error resulting from the load variations via updating the presetting value. Consequently, it does not need retesting
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Dissertations / Theses on the topic "Transmission lines/fault detection"

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Daniel, J. S. "Independent mode protection of three ended power systems." Thesis, University of Bath, 1991. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.280896.

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Agrawal, Pramod. "An investigation into a new approach to UHS protection of EHV transmission lines based on detection of fault generated noise." Thesis, City University London, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328403.

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Harrysson, Mattias. "Fault Location Algorithms in Transmission Grids." Thesis, Högskolan i Halmstad, Sektionen för ekonomi och teknik (SET), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-26314.

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The rapid growth of the electric power system has in recent decades resulted in an increase of the number of transmission lines and total power outage in Norway. The challenge of a fast growing electrical grid has also resulted in huge increases of overhead lines and their total length. These lines are experiencing faults due to various reasons that cause major disruptions and operating costs of the transmission system operator (TSO). Thus, it’s important that the location of faults is either known or can be estimated with reasonably high accuracy. This allows the grid owner to save money and
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Abboud, Layane. "Time Reversal techniques applied to wire fault detection and location in wire networks." Phd thesis, Supélec, 2012. http://tel.archives-ouvertes.fr/tel-00771964.

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In this thesis we present new approaches in the domains of soft fault detection and location in complex wire networks, based on the properties of time reversal. When addressing the detection of soft faults, the idea is to adapt the testing signal to the network under test, instead of being predefined for all the tested networks, as opposed to standard reflectometry techniques. We prove that this approach, which we name the Matched Pulse approach (MP), is beneficial whenever the system is more complex, i.e., its response is richer in echoes, which is opposed to common understanding. The MP anal
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Manet, Anthony. "Etude de défauts non francs sur des câbles en vue du diagnostic." Thesis, Paris Est, 2016. http://www.theses.fr/2016PESC1054/document.

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La détection des défauts non francs est un passage obligé dans la gestion de la maintenance des câbles (Wire Health Monitoring) et permet d’anticiper l’apparition de défauts francs engendrés par l'aggravation de défauts non francs. Ces travaux de thèse visent à étudier la problématique de défauts non francs dans les câbles électriques. L'étude proposée consiste à étudier le problème direct : modélisation électromagnétique et compréhension des phénomènes physiques liés à la présence des défauts non francs, et impact des défauts sur leurs signatures obtenues par réflectométrie. Il est proposé da
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Visco, Comandini Filippo. "Some inverse scattering problems on star-shaped graphs: application to fault detection on electrical transmission line networks." Phd thesis, Université de Versailles-Saint Quentin en Yvelines, 2011. http://tel.archives-ouvertes.fr/tel-00748216.

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In this thesis, having in mind applications to the fault-detection/diagnosis of electrical networks, we consider some inverse scattering problems for the Zakharov-Shabat equations and time-independent Schrödinger operators over star-shaped graphs. The first chapter is devoted to describe reflectometry methods applied to electrical networks as an inverse scattering problems on the star-shaped network. Reflectometry methods are presented and modeled by the telegrapher's equations. Reflectometry experiments can be written as inverse scattering problems for Schrödinger operator in the lossless cas
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Kasinathan, Karthikeyan. "POWER SYSTEM FAULT DETECTION AND CLASSIFICATION BY WAVELET TRANSFORMS AND ADAPTIVE RESONANCE THEORY NEURAL NETWORKS." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_theses/452.

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This thesis aims at detecting and classifying the power system transmission line faults. To deal with the problem of an extremely large data set with different fault situations, a three step optimized Neural Network approach has been proposed. The approach utilizes Discrete Wavelet Transform for detection and two different types of self-organized, unsupervised Adaptive Resonance Theory Neural Networks for classification. The fault scenarios are simulated using Alternate Transients Program and the performance of this highly improved scheme is compared with the existing techniques. The simulatio
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Giovanini, Renan. "Detecção e classificação rápida de faltas em linhas de transmissão utilizando redes neurais artificiais." Universidade de São Paulo, 2000. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-17112017-152327/.

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Proteger as linhas de transmissão é uma das tarefas mais importantes dentro dos sistemas elétricos de potência. Faltas em linhas de transmissão devem ser localizadas precisamente e extintas o mais rápido possível. Para tal, o esquema de proteção de linhas utiliza valores amostrados de correntes e tensões para a execução das tarefas de detecção, classificação e localização da falta. Neste esquema, grandezas trifásicas de corrente (IA, IB, IC) e tensão (VA, VB, VC) compõem as entradas do sistema. Após a detecção e classificação da falta, o relé efetua o cálculo da impedância aparente para a veri
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Padmanabhan, Shantanu. "Fault location on series compensated transmission lines." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/fault-location-on-series-compensated-transmission-lines(96717358-9165-4820-bd8a-7efd9892fb8c).html.

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Fault location for series compensated lines cannot be addressed sufficiently by conventional solutions developed for traditional uncompensated lines. Line-parameters vary with loading and weather conditions, and therefore settings used for fault location are often erroneous. Line-parameter free solutions for fault location are therefore more reliable and accurate than conventional solutions that require such settings. Hence, line-parameter free fault location algorithms for single-circuit and double-circuit series compensated transmission lines were developed during the research project. Singl
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Jamali, Sadegh. "Accurate fault location for power transmission lines." Thesis, City, University of London, 1990. http://openaccess.city.ac.uk/17425/.

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This thesis describes a new accurate fault location technique for power transmission lines. The technique is based on a distributed parameter line model which inherently accounts for line conductor asymmetry and shunt capacitance. The accuracy of the new technique is not significantly affected by fault resistance, source network configuration or line length. Also, in most cases no fault type identification is required. The new fault location technique uses the current and voltage phasors at power frequency measured at the line ends. These measurements are synchronised from a knowledge of the p
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Books on the topic "Transmission lines/fault detection"

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Izykowski, Jan. Fault location on power transmission lines. Oficyna Wydawnicza Politechniki Wrocławskiej, 2008.

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Izykowski, Jan. Fault location on power transmission lines. Oficyna Wydawnicza Politechniki Wrocławskiej, 2008.

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Peterson, Jeffrey Shawn. Detection of downed trolley lines using arc signature analysis. U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Pittsburgh Research Center, 1997.

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Łukowicz, Mirosław. Metody wykrywania zwarć wysokooporowych w napowietrznych liniach elektroenergetycznych: Methods of high impedance fault detection in overhead electric power lines. Oficyna Wydawnicza Politechniki Wrocławskiej, 2013.

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Davidson, M. M. B. A PC-based data acquisition system for the investigation of fault location on transmission lines using travelling waves. UMIST, 1992.

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Don, Russell B., and IEEE Power Engineering Society. Power Engineering Education Committee., eds. Detection of downed conductors on utility distribution systems. Available from Publication Sales Dept., IEEE Service Center, 1989.

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United States. Army Aviation Research and Technology Activity. and United States. National Aeronautics and Space Administration., eds. Fault detection of helicopter gearboxes using the multi-valued influence matrix method. National Aeronautics and Space Administration, 1993.

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Fault detection of helicopter gearboxes using the multi-valued influence matrix method. National Aeronautics and Space Administration, 1993.

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Center, Lewis Research, ed. A review of transmission diagnostics research at NASA Lewis Research Center. The Center, 1994.

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Diagnostics of Electrical Equipment Faults and Power Overhead Transmission Line Condition by Monitoring Systems: Short-Circuit Testing of Power Transformers. Nova Science Publishers, Incorporated, 2016.

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Book chapters on the topic "Transmission lines/fault detection"

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Johnson, Jenifer Mariam, and Anamika Yadav. "Fault Detection and Classification Technique for HVDC Transmission Lines Using KNN." In Information and Communication Technology for Sustainable Development. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3920-1_25.

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Prasad, Ch D., and Paresh Kumar Nayak. "A Mixed Strategy Approach for Fault Detection During Power Swing in Transmission Lines." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7868-2_57.

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Saxena, Nishant, Rachit Saxena, and Krishna Murari. "Novel Fault Detection Scheme Using Stockwell Transform for Transmission Lines with Wind Power Penetration." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7994-3_3.

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Allam, Dalia, and Almoataz Y. Abdelaziz. "An Artificial Intelligence–Based Detection and Classification of Faults on Transmission Lines." In Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection. CRC Press, 2021. http://dx.doi.org/10.1201/9780367552374-4.

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Asifa, Shoyab Ali, and Gaurav Kapoor. "Single-End Current-Based Scheme for Detection and Classification of Distant-End and Adjacent-End Faults in Transmission Lines." In Studies in Autonomic, Data-driven and Industrial Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3915-9_30.

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Costa, Bruno G., Jean Carlos Arouche Freire, Hamilton S. Cavalcante, et al. "Fault Classification on Transmission Lines Using KNN-DTW." In Computational Science and Its Applications – ICCSA 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62392-4_13.

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Prasad, Avagaddi, and J. Belwin Edward. "Wavelet Technique-Based Fault Classification in Transmission Lines." In Advances in Power Systems and Energy Management. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4394-9_40.

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Muzzammel, Raheel. "Machine Learning Based Fault Diagnosis in HVDC Transmission Lines." In Communications in Computer and Information Science. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6052-7_43.

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Yadav, Monika, Prayanshu Verma, and Devender Kumar Saini. "Fault Detection in Overhead Lines Using IoT-Enabled Fault Passage Indicator." In Advances in Intelligent Systems and Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1510-8_25.

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de Melo, Gilberto Pechoto, Lucas Ferreira Bertão, and Camilo Rocha Araújo. "Fault Detection in Transmission Towers Using State Observers." In Proceedings of the 6th Brazilian Technology Symposium (BTSym’20). Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75680-2_86.

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Conference papers on the topic "Transmission lines/fault detection"

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Ibrahim, Doaa khalil, El Sayed Tag Eldin, Essam M. Aboul-Zahab, and Saber Mohamed Saleh. "High-impedance fault detection in EHV transmission lines." In 2008 12th International Middle East Power System Conference - MEPCON. IEEE, 2008. http://dx.doi.org/10.1109/mepcon.2008.4562363.

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Melo, Y., W. Neves, and D. Fernandes. "Fault detection and localization for HVDC transmission lines." In 2018 Simposio Brasileiro de Sistemas Eletricos (SBSE) [VII Brazilian Electrical Systems Symposium (SBSE)]. IEEE, 2018. http://dx.doi.org/10.1109/sbse.2018.8395543.

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Rathore, Bhuvnesh, and Abdul Gafoor Shaik. "Alienation based fault detection and classification in transmission lines." In 2015 Annual IEEE India Conference (INDICON). IEEE, 2015. http://dx.doi.org/10.1109/indicon.2015.7443649.

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Upadhyay, Shreya, S. R. Kapoor, and Rajni Choudhary. "Fault Classification and Detection in Transmission Lines Using ANN." In 2018 International Conference on Inventive Research in Computing Applications (ICIRCA). IEEE, 2018. http://dx.doi.org/10.1109/icirca.2018.8597294.

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Gafoor, Shaik Abdul, and P. V. Ramana Rao. "Wavelet Based Fault Detection, Classification and Location in Transmission Lines." In 2006 IEEE International Power and Energy Conference. IEEE, 2006. http://dx.doi.org/10.1109/pecon.2006.346630.

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Jain, Ankit, and Beaulah Moses. "Soft computing based fault detection & classification for transmission lines." In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7755477.

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Ertugrul, O. F., M. E. Tagluk, and Y. Kaya. "Fault detection at power transmission lines by extreme learning machine." In 2013 21st Signal Processing and Communications Applications Conference (SIU). IEEE, 2013. http://dx.doi.org/10.1109/siu.2013.6531209.

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Raju, Febin, and Surya Susan Alex. "Fault direction detection and fault location identification in transmission lines using traveling waves." In 2015 Online International Conference on Green Engineering and Technologies (IC-GET). IEEE, 2015. http://dx.doi.org/10.1109/get.2015.7453810.

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Shao, Wenquan, Jiale Suonan, Guobing Song, Yili Liu, and Yanbin Li. "Single-Phase Permanent Fault Detection for Reactored EHV/UHV Transmission Lines." In 2011 Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2011. http://dx.doi.org/10.1109/appeec.2011.5748570.

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Reddy, B. Ravindranath, M. Vijaya Kumar, M. Suryakalavathi, and Ch Prasanth Babu. "Fault detection, classification and location on transmission lines using wavelet transform." In 2009 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP). IEEE, 2009. http://dx.doi.org/10.1109/ceidp.2009.5377788.

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