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The proposed PSO based SVM classifier is able to select appropriate input features and optimize SVM parameters to increase classification accuracy. Further, a time-domain reflectometry (TDR) method with a pseudorandom binary sequence (PRBS) stimulus has been used to generate a dataset for purposes of classification. The proposed technique has been tested on a typical radial distribution network to identify ten different types of faults considering 12 given input features generated by using Simulink software and MATLAB Toolbox. The success rate of the SVM classifier is over 97%, which demonstrates the effectiveness and high efficiency of the developed method.<\/jats:p>","DOI":"10.1155\/2017\/4135465","type":"journal-article","created":{"date-parts":[[2017,7,11]],"date-time":"2017-07-11T17:14:14Z","timestamp":1499793254000},"page":"1-9","source":"Crossref","is-referenced-by-count":49,"title":["Feature Selection and Parameters Optimization of SVM Using Particle Swarm Optimization for Fault Classification in Power Distribution Systems"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8514-5855","authenticated-orcid":true,"given":"Ming-Yuan","family":"Cho","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3745-9854","authenticated-orcid":true,"given":"Thi Thom","family":"Hoang","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2008.10.011"},{"issue":"3","key":"2","first-page":"2670","volume":"3","year":"2009","journal-title":"Australian Journal of Basic and Applied Sciences"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2004.834871"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.2478\/jee-2014-0022"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2006.03.001"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2016.11.261"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2010.2050218"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2010.2058730"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ndteint.2013.10.007"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1109\/61.915506"},{"issue":"1","key":"12","first-page":"31","volume":"1","year":"2006","journal-title":"Journal of Computers"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.2528\/PIER12121402"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2005.844307"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2014.10.010"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.3390\/app7010051"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2005.09.006"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1007\/s13177-013-0065-9"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.3390\/app6120438"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(03)00169-2"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1006\/mssp.2001.1454"},{"key":"25","year":"2001"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/6510303"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2007.896686"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2015.06.018"},{"key":"30","doi-asserted-by":"publisher","DOI":"10.5370\/JEET.2012.7.6.814"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1109\/61.956760"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2017\/4135465.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2017\/4135465.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2017\/4135465.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,7,11]],"date-time":"2017-07-11T17:14:15Z","timestamp":1499793255000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/cin\/2017\/4135465\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":27,"alternative-id":["4135465","4135465"],"URL":"https:\/\/doi.org\/10.1155\/2017\/4135465","relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"value":"1687-5265","type":"print"},{"value":"1687-5273","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}