{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:48:45Z","timestamp":1776811725522,"version":"3.51.2"},"reference-count":27,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"4","license":[{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Computational Methods in Sciences and Engineering"],"published-print":{"date-parts":[[2023,7]]},"abstract":"<jats:p>Finding the head of a traveling wave is challenging because an overhead line-cable hybrid transmission line\u2019s wave impedance is not constant. Because of this, it is difficult to measure the hybrid transmission line precisely. This leads to the proposal of a hybrid transmission line fault location algorithm, which combines VMD energy entropy for training support vector machines and traveling wave law graphs. The VMD energy entropy is first used to train SVM to identify the faulty section. The method of traveling waves with a single end is utilized to precisely fix the fault distance within the faulty segment when the type of traveling wave has been identified. The simulation results demonstrate that the method provides precise measurements and is effective for hybrid transmission lines with a range of fault distances and grounding resistances.<\/jats:p>","DOI":"10.3233\/jcm-226760","type":"journal-article","created":{"date-parts":[[2023,4,28]],"date-time":"2023-04-28T12:31:05Z","timestamp":1682685065000},"page":"2083-2099","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Fault location in hybrid transmission lines on the basis of VMD energy entropy and SVM"],"prefix":"10.66113","volume":"23","author":[{"given":"Min","family":"Zhao","sequence":"first","affiliation":[{"name":"Hebi Institute of Engineering and Technology, Henan Polytechnic University, Hebi, Henan, China"},{"name":"Hebi Polytechnic, Hebi, Henan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhihui","family":"Kang","sequence":"additional","affiliation":[{"name":"Hebi Institute of Engineering and Technology, Henan Polytechnic University, Hebi, Henan, China"},{"name":"Hebi Polytechnic, Hebi, Henan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","published-online":{"date-parts":[[2023,7]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2011.2171198"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2014.2380774"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.3390\/en11061529"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1784\/insi.2019.61.9.515"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.3390\/en11051105"},{"issue":"9","key":"e_1_3_2_7_2","first-page":"1259","article-title":"A novel fault location algorithm for mixed overhead-cable transmission system using unsynchronized current data","volume":"14","author":"Ding JL","year":"2019","unstructured":"DingJL WangX ZhengYH, et al. A novel fault location algorithm for mixed overhead-cable transmission system using unsynchronized current data. IEEE Transactions on Electrical and Electronic Engineering. 2019; 14(9): 1259-1303.","journal-title":"IEEE Transactions on Electrical and Electronic Engineering."},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00202-017-0647-7"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2013.2260421"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-017-3295-y."},{"issue":"19","key":"e_1_3_2_11_2","first-page":"1368","article-title":"Support vector machine based fault classification and location of a long transmission line","author":"Mishra DP","year":"2016","unstructured":"MishraDP RayP. Support vector machine based fault classification and location of a long transmission line. Engineering Science and Technology. 2016; 19: 1368-1380.","journal-title":"Engineering Science and Technology."},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1002\/etep.2032"},{"key":"e_1_3_2_13_2","doi-asserted-by":"crossref","unstructured":"WangYX MarkertR XiangJW et al. Research on variational mode decomposition and its application in detecting rub-impact fault of the rotor system. Mechanical Systems and Signal Processing. 2015(60-61); 243-251.","DOI":"10.1016\/j.ymssp.2015.02.020"},{"issue":"185","key":"e_1_3_2_14_2","article-title":"Fault diagnosis of rolling bearings based on improved energy entropy and fault location of triangulation of amplitude attenuation outer raceway","volume":"2021","author":"Gao SZ","unstructured":"GaoSZ RenYL ZhangYM, et al. Fault diagnosis of rolling bearings based on improved energy entropy and fault location of triangulation of amplitude attenuation outer raceway. Measurement. 2021(185).","journal-title":"Measurement"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.05.011"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.03.057"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1080\/07474930801959750"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1002\/jcc.25189"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1002\/qua.22738"},{"issue":"160","key":"e_1_3_2_20_2","first-page":"173","article-title":"Fault location on high voltage transmission line by applying support vector regression with fault signal amplitudes","volume":"2018","author":"Fei CG","unstructured":"FeiCG QiGY LiCX. Fault location on high voltage transmission line by applying support vector regression with fault signal amplitudes. Electric Power Systems Research. 2018(160): 173-179.","journal-title":"Electric Power Systems Research."},{"issue":"9","key":"e_1_3_2_21_2","first-page":"42226","article-title":"Single pole-to-ground fault location system for MMC-HVDC transmission lines based on active pulse and CEEMDAN","volume":"2021","author":"Wu JY","unstructured":"WuJY ShengL XiaoSJ, et al. Single pole-to-ground fault location system for MMC-HVDC transmission lines based on active pulse and CEEMDAN. IEEE Access. 2021(9): 42226-42235.","journal-title":"IEEE Access."},{"issue":"110","key":"e_1_3_2_22_2","first-page":"73","article-title":"Fault location in transmission lines based on stationary wavelet transform, determinant function feature and support vector regression","volume":"2014","author":"Yusuff AA","unstructured":"YusuffAA JimohAA MundaJL. Fault location in transmission lines based on stationary wavelet transform, determinant function feature and support vector regression. Electric Power Systems Research. 2014(110): 73-83.","journal-title":"Electric Power Systems Research."},{"issue":"123","key":"e_1_3_2_23_2","first-page":"8","article-title":"A hybrid method for fault location estimation in a fixed series compensated lines","volume":"2018","author":"Swetapadma A","unstructured":"SwetapadmaA YadavA. A hybrid method for fault location estimation in a fixed series compensated lines. Measurement. 2018(123): 8-18.","journal-title":"Measurement."},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2609680"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2018.2873017"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2008.917924"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2003.817487"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2004.838477"}],"container-title":["Journal of Computational Methods in Sciences and Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JCM-226760","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JCM-226760","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JCM-226760","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:06:59Z","timestamp":1776809219000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JCM-226760"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7]]},"references-count":27,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,7]]}},"alternative-id":["10.3233\/JCM-226760"],"URL":"https:\/\/doi.org\/10.3233\/jcm-226760","relation":{},"ISSN":["1472-7978","1875-8983"],"issn-type":[{"value":"1472-7978","type":"print"},{"value":"1875-8983","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7]]}}}