Particle swarm based arc detection on time series in pantograph-catenary system. Karaköse, M., Çelebi, S. B., Aydın, İ., & Yaman, O. June, 2014. ![Particle swarm based arc detection on time series in pantograph-catenary system [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex Pantograph-catenary system is the most important component for transmitting the electric energy to the train. If the faults have not detected in an early stage, energy can disrupt the energy and this leads to more serious faults. The arcs occurred in the contact point is the first step of a fault. When they are detected in an early stage, catastrophic faults and accidents can be avoided. In this study, a new approach has been proposed to detect arcs in pantograph-catenary system. The proposed method applies a threshold value to each video frame and the rate of sudden glares are converted to time series. The phase space of the obtained time series is constructed and the arc event is found by using particle swarm optimization. The proposed method is analyzed by using real pantograph-videos and good result have been obtained.
@article{karakose_particle_2014,
title = {Particle swarm based arc detection on time series in pantograph-catenary system},
url = {https://openaccess.firat.edu.tr/xmlui/handle/11508/7996},
abstract = {Pantograph-catenary system is the most important
component for transmitting the electric energy to the train. If the
faults have not detected in an early stage, energy can disrupt the
energy and this leads to more serious faults. The arcs occurred in
the contact point is the first step of a fault. When they are
detected in an early stage, catastrophic faults and accidents can
be avoided. In this study, a new approach has been proposed to
detect arcs in pantograph-catenary system. The proposed method
applies a threshold value to each video frame and the rate of
sudden glares are converted to time series. The phase space of the
obtained time series is constructed and the arc event is found by
using particle swarm optimization. The proposed method is
analyzed by using real pantograph-videos and good result have
been obtained.},
language = {Türkçe},
urldate = {2016-11-15},
author = {Karaköse, Mehmet and Çelebi, Selahattin Barış and Aydın, İlhan and Yaman, Orhan},
month = jun,
year = {2014}
}
Downloads: 0
{"_id":"wYsWTXHdNExWRSFSF","bibbaseid":"karakse-elebi-aydn-yaman-particleswarmbasedarcdetectionontimeseriesinpantographcatenarysystem-2014","downloads":0,"creationDate":"2016-11-15T22:26:03.267Z","title":"Particle swarm based arc detection on time series in pantograph-catenary system","author_short":["Karaköse, M.","Çelebi, S. B.","Aydın, İ.","Yaman, O."],"year":2014,"bibtype":"article","biburl":"https://bibbase.org/zotero/iaydin","bibdata":{"bibtype":"article","type":"article","title":"Particle swarm based arc detection on time series in pantograph-catenary system","url":"https://openaccess.firat.edu.tr/xmlui/handle/11508/7996","abstract":"Pantograph-catenary system is the most important component for transmitting the electric energy to the train. If the faults have not detected in an early stage, energy can disrupt the energy and this leads to more serious faults. The arcs occurred in the contact point is the first step of a fault. When they are detected in an early stage, catastrophic faults and accidents can be avoided. In this study, a new approach has been proposed to detect arcs in pantograph-catenary system. The proposed method applies a threshold value to each video frame and the rate of sudden glares are converted to time series. The phase space of the obtained time series is constructed and the arc event is found by using particle swarm optimization. The proposed method is analyzed by using real pantograph-videos and good result have been obtained.","language":"Türkçe","urldate":"2016-11-15","author":[{"propositions":[],"lastnames":["Karaköse"],"firstnames":["Mehmet"],"suffixes":[]},{"propositions":[],"lastnames":["Çelebi"],"firstnames":["Selahattin","Barış"],"suffixes":[]},{"propositions":[],"lastnames":["Aydın"],"firstnames":["İlhan"],"suffixes":[]},{"propositions":[],"lastnames":["Yaman"],"firstnames":["Orhan"],"suffixes":[]}],"month":"June","year":"2014","bibtex":"@article{karakose_particle_2014,\n\ttitle = {Particle swarm based arc detection on time series in pantograph-catenary system},\n\turl = {https://openaccess.firat.edu.tr/xmlui/handle/11508/7996},\n\tabstract = {Pantograph-catenary system is the most important\ncomponent for transmitting the electric energy to the train. If the\nfaults have not detected in an early stage, energy can disrupt the\nenergy and this leads to more serious faults. The arcs occurred in\nthe contact point is the first step of a fault. When they are\ndetected in an early stage, catastrophic faults and accidents can\nbe avoided. In this study, a new approach has been proposed to\ndetect arcs in pantograph-catenary system. The proposed method\napplies a threshold value to each video frame and the rate of\nsudden glares are converted to time series. The phase space of the\nobtained time series is constructed and the arc event is found by\nusing particle swarm optimization. The proposed method is\nanalyzed by using real pantograph-videos and good result have\nbeen obtained.},\n\tlanguage = {Türkçe},\n\turldate = {2016-11-15},\n\tauthor = {Karaköse, Mehmet and Çelebi, Selahattin Barış and Aydın, İlhan and Yaman, Orhan},\n\tmonth = jun,\n\tyear = {2014}\n}\n\n","author_short":["Karaköse, M.","Çelebi, S. B.","Aydın, İ.","Yaman, O."],"key":"karakose_particle_2014","id":"karakose_particle_2014","bibbaseid":"karakse-elebi-aydn-yaman-particleswarmbasedarcdetectionontimeseriesinpantographcatenarysystem-2014","role":"author","urls":{"Paper":"https://openaccess.firat.edu.tr/xmlui/handle/11508/7996"},"downloads":0},"search_terms":["particle","swarm","based","arc","detection","time","series","pantograph","catenary","system","karaköse","çelebi","aydın","yaman"],"keywords":[],"authorIDs":[],"dataSources":["sMj4ZXGhwCXsfm8Mg"]}