{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T19:04:40Z","timestamp":1772823880829,"version":"3.50.1"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2020,2,12]],"date-time":"2020-02-12T00:00:00Z","timestamp":1581465600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,2,12]],"date-time":"2020-02-12T00:00:00Z","timestamp":1581465600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100013275","name":"Instituto Serrapilheira","doi-asserted-by":"publisher","award":["Serra-1812-26777"],"award-info":[{"award-number":["Serra-1812-26777"]}],"id":[{"id":"10.13039\/501100013275","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004329","name":"Javna Agencija za Raziskovalno Dejavnost RS","doi-asserted-by":"publisher","award":["P2-0219"],"award-info":[{"award-number":["P2-0219"]}],"id":[{"id":"10.13039\/501100004329","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Evolving Systems"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1007\/s12530-020-09328-3","type":"journal-article","created":{"date-parts":[[2020,2,12]],"date-time":"2020-02-12T20:02:47Z","timestamp":1581537767000},"page":"165-180","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Fault detection in smart grids with time-varying distributed generation using wavelet energy and evolving neural networks"],"prefix":"10.1007","volume":"11","author":[{"given":"Fabricio","family":"Lucas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pyramo","family":"Costa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rose","family":"Batalha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3135-2933","authenticated-orcid":false,"given":"Daniel","family":"Leite","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Igor","family":"\u0160krjanc","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,2,12]]},"reference":[{"key":"9328_CR1","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.engappai.2017.10.020","volume":"68","author":"G Andonovski","year":"2018","unstructured":"Andonovski G, Music G, Blazic S, Skrjanc I (2018) Evolving model identification for process monitoring and prediction of non-linear systems. Eng Appl Artif Intell 68:214\u2013221","journal-title":"Eng Appl Artif Intell"},{"key":"9328_CR2","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.ins.2018.06.048","volume":"463","author":"P Angelov","year":"2018","unstructured":"Angelov P, Gu X (2018) Deep rule-based classifier with human-level performance and characteristics. Inf Sci 463:196\u2013213","journal-title":"Inf Sci"},{"key":"9328_CR3","doi-asserted-by":"crossref","first-page":"1325","DOI":"10.1016\/j.epsr.2011.01.022","volume":"81","author":"I Baqui","year":"2011","unstructured":"Baqui I, Zamora I, Mazn J, Buigues G (2011) High impedance fault detection methodology using wavelet transform and artificial neural networks. Electr Power Syst Res 81:1325\u20131333","journal-title":"Electr Power Syst Res"},{"key":"9328_CR4","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.eswa.2016.06.035","volume":"63","author":"C Bezerra","year":"2016","unstructured":"Bezerra C, Costa B, Guedes LA, Angelov P (2016) An evolving approach to unsupervised and real-time fault detection in industrial processes. Expert Syst Appl 63:134\u2013144","journal-title":"Expert Syst Appl"},{"key":"9328_CR5","doi-asserted-by":"crossref","unstructured":"Bretas AS, Moreto M, Salim RH, Pires LO (2006) A novel high impedance fault location for distribution systems considering distributed generation. In: IEEE\/PES transmission and distribution conference, pp 433\u2013439","DOI":"10.1109\/TDCLA.2006.311623"},{"key":"9328_CR6","first-page":"608","volume":"4114","author":"AS Bretas","year":"2006","unstructured":"Bretas AS, Pires L, Moreto M, Salim RH, Huang D, Li K, Irwing G (2006) A bp neural network based technique for hif detection and location on distribution systems with distributed generation. Int Conf Intell Comput 4114:608\u2013613","journal-title":"Int Conf Intell Comput"},{"issue":"4","key":"9328_CR7","first-page":"300","volume":"1","author":"SH Cha","year":"2007","unstructured":"Cha SH (2007) Comprehensive survey on distance\/similarity measures between probability density fuctions. Int J Math Models Methods Appl Sci 1(4):300\u2013307","journal-title":"Int J Math Models Methods Appl Sci"},{"issue":"6","key":"9328_CR8","doi-asserted-by":"crossref","first-page":"5312","DOI":"10.1109\/TIA.2015.2434993","volume":"51","author":"FB Costa","year":"2015","unstructured":"Costa FB, Souza BA, Brito NS, Silva JAC (2015) Real-time detection of transients induced by high impedance faults based on the boundary wavelet transform. IEEE Trans Ind Appl 51(6):5312\u20135323","journal-title":"IEEE Trans Ind Appl"},{"issue":"2","key":"9328_CR9","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1109\/61.53070","volume":"5","author":"A Emanuel","year":"1990","unstructured":"Emanuel A, Cyganski D, Orr J, Shiller S, Gulachenski E (1990) High impedance fault arcing on sandy soil in 15 kv distribution feeders: contributons to the evaluation of the low frequency spectrum. IEEE Trans Power Deliv 5(2):676\u2013686","journal-title":"IEEE Trans Power Deliv"},{"issue":"1","key":"9328_CR10","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1049\/iet-gtd:20070120","volume":"2","author":"AH Etemadi","year":"2008","unstructured":"Etemadi AH, Sanaye-Pasand M (2008) High-impedance fault detection using multi-resolution signal decomposition and adaptive neural fuzzy inference system. IET Gener Transm Distrib 2(1):110\u2013118","journal-title":"IET Gener Transm Distrib"},{"key":"9328_CR11","doi-asserted-by":"crossref","unstructured":"Ezzt M, Marei MI, Abdel-Rahman M, Mansour MM (2007) A hybrid strategy for distributed generators islanding detection. In: IEEE Power Engineering Society conference & expo, pp 1\u20137","DOI":"10.1109\/PESAFR.2007.4498086"},{"key":"9328_CR12","doi-asserted-by":"publisher","unstructured":"Garcia C, Leite D, Skrjanc I (2019) Incremental missing-data imputation for evolving fuzzy granular prediction. IEEE Trans Fuzzy Syst 1\u201315. https:\/\/doi.org\/10.1109\/TFUZZ.2019.2935688","DOI":"10.1109\/TFUZZ.2019.2935688"},{"issue":"2","key":"9328_CR13","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1049\/ip-gtd:20041300","volume":"152","author":"L Garcia-Santander","year":"2005","unstructured":"Garcia-Santander L, Bastard P, Petit M, Gal I, Lopez E, Opazo H (2005) Down-conductor fault detection and via a voltage based method for radial distribution networks. IEEE Proc Gener Transm Distrib 152(2):180\u2013184","journal-title":"IEEE Proc Gener Transm Distrib"},{"key":"9328_CR14","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1016\/j.epsr.2016.10.021","volume":"143","author":"A Ghaderi","year":"2017","unstructured":"Ghaderi A, Ginn HL, Mohammadpour HA (2017) High impedance fault detection: a review. Electr Power Syst Res 143:376\u2013388","journal-title":"Electr Power Syst Res"},{"key":"9328_CR15","doi-asserted-by":"crossref","unstructured":"Ghaderi A, Mohammadpour HA, Ginn H (2015) High impedance fault detection method efficiency: simulation vs real-world data acquisition. In: IEEE power & energy conference, pp 1\u20135","DOI":"10.1109\/PECI.2015.7064882"},{"issue":"1","key":"9328_CR16","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1109\/TLA.2013.6502846","volume":"11","author":"JC Gomez","year":"2013","unstructured":"Gomez JC, Vaschetti J, Coyos C, Ibarlucea C (2013) Distributed generation: impact on protections and power quality. IEEE Latin Am Trans 11(1):460\u2013465","journal-title":"IEEE Latin Am Trans"},{"key":"9328_CR17","volume-title":"Neural networks and learning machines","author":"S Haykin","year":"2008","unstructured":"Haykin S (2008) Neural networks and learning machines, 3rd edn. Pearson, London","edition":"3"},{"key":"9328_CR18","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.ins.2016.12.004","volume":"382","author":"R Hyde","year":"2017","unstructured":"Hyde R, Angelov P, Mackenzie A (2017) Fully online clustering of evolving data streams into arbitrarily shaped clusters. Info Sci 382:96\u2013114","journal-title":"Info Sci"},{"key":"9328_CR19","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1016\/j.epsr.2009.12.019","volume":"80","author":"DK Ibrahim","year":"2010","unstructured":"Ibrahim DK, Eldin E, Aboul-Zahab E, Saleh S (2010) Real time evaluation of DWT-based high impedance fault detection in EHV transmission. Electr Power Syst Res 80:907\u2013914","journal-title":"Electr Power Syst Res"},{"key":"9328_CR20","volume-title":"Evolving connectionist systems: the knowledge engineering approach","author":"N Kasabov","year":"2007","unstructured":"Kasabov N (2007) Evolving connectionist systems: the knowledge engineering approach. Springer, Secaucus"},{"issue":"2","key":"9328_CR21","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1049\/pe:20000210","volume":"14","author":"CH Kim","year":"2000","unstructured":"Kim CH, Aggarwal R (2000) Wavelet transforms in power systems. Power Eng J 14(2):81\u201387","journal-title":"Power Eng J"},{"issue":"3","key":"9328_CR22","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1109\/TFUZZ.2019.2911493","volume":"28","author":"Daniel Leite","year":"2020","unstructured":"Leite D, Andonovski G, \u0160krjanc I, Gomide F (2019) Optimal rule-based granular systems from data streams. IEEE Trans Fuzzy Syst 1\u201314. https:\/\/doi.org\/10.1109\/TFUZZ.2019.2911493","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"2","key":"9328_CR23","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/s12530-012-9050-9","volume":"3","author":"D Leite","year":"2012","unstructured":"Leite D, Ballini R, Costa P, Gomide F (2012) Evolving fuzzy granular modeling from nonstationary fuzzy data streams. Evol Syst 3(2):65\u201379","journal-title":"Evol Syst"},{"key":"9328_CR24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neunet.2012.10.006","volume":"38","author":"D Leite","year":"2013","unstructured":"Leite D, Costa P, Gomide F (2013) Evolving granular neural networks from fuzzy data streams. Neural Netw 38:1\u201316","journal-title":"Neural Netw"},{"issue":"4","key":"9328_CR25","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1109\/TFUZZ.2014.2333774","volume":"23","author":"D Leite","year":"2015","unstructured":"Leite D, Palhares R, Campos V, Gomide F (2015) Evolving granular fuzzy model-based control of nonlinear dynamic systems. IEEE Trans Fuzzy Syst 23(4):923\u2013938","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"9328_CR26","doi-asserted-by":"crossref","unstructured":"Lucas F, Costa P, Batalha R, Leite D (2018) High impedance fault detection in time-varying distributed generation systems using adaptive neural networks. In: International joint conference on neural networks (IJCNN), pp 1\u20138","DOI":"10.1109\/IJCNN.2018.8489453"},{"issue":"99","key":"9328_CR27","first-page":"1-1","volume":"PP","author":"E Lughofer","year":"2017","unstructured":"Lughofer E, Pratama M, Skrjanc I (2017) Incremental rule splitting in generalized evolving fuzzy systems for autonomous drift compensation. IEEE Trans Fuzzy Syst PP(99):1-1","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"9328_CR28","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neunet.2017.10.004","volume":"98","author":"S Mohamad","year":"2018","unstructured":"Mohamad S, Sayed-Mouchaweh M, Bouchachia A (2018) Active learning for classifying data streams with unknown number of classes. Neural Netw 98:1\u201315","journal-title":"Neural Netw"},{"issue":"4","key":"9328_CR29","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1016\/j.epsr.2007.05.010","volume":"78","author":"J Mora-Florez","year":"2008","unstructured":"Mora-Florez J, Melendez J, Carrillo-Caicedo G (2008) Comparison of impedance based fault location methods for power distribution systems. Electr Power Syst Res 78(4):657\u2013666","journal-title":"Electr Power Syst Res"},{"issue":"1","key":"9328_CR30","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1109\/TNNLS.2013.2271933","volume":"25","author":"M Pratama","year":"2014","unstructured":"Pratama M, Anavatti SG, Angelov P, Lughofer E (2014) Panfis: a novel incremental learning machine. IEEE Trans Neural Netw Learn Syst 25(1):55\u201368","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"9328_CR31","doi-asserted-by":"crossref","first-page":"863","DOI":"10.1007\/s40815-016-0236-3","volume":"19","author":"M Pratama","year":"2017","unstructured":"Pratama M, Lughofer E, Lim C, Rahayu W, Dillon T, Budiyono A (2017) A novel evolving semi-supervised classifier. Int J Fuzzy Syst 19:863\u2013880","journal-title":"Int J Fuzzy Syst"},{"issue":"6","key":"9328_CR32","doi-asserted-by":"crossref","first-page":"1296","DOI":"10.1109\/TFUZZ.2009.2029569","volume":"17","author":"JJ Rubio","year":"2009","unstructured":"Rubio JJ (2009) Sofmls: online self-organizing fuzzy modified least-squares network. IEEE Trans Fuzzy Syst 17(6):1296\u20131309","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"B","key":"9328_CR33","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/j.asoc.2013.07.023","volume":"14","author":"JJ Rubio","year":"2014","unstructured":"Rubio JJ (2014) Evolving intelligent algorithms for the modeling of brain and eye signals. Appl Soft Comput 14(B):259\u2013268","journal-title":"Appl Soft Comput"},{"issue":"1","key":"9328_CR34","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1109\/TPWRD.2016.2548942","volume":"32","author":"WC Santos","year":"2017","unstructured":"Santos WC, Lopes FV, Brito NSD, Souza B (2017) High impedance fault identification on distribution networks. IEEE Trans Power Deliv 32(1):23\u201332","journal-title":"IEEE Trans Power Deliv"},{"key":"9328_CR35","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.epsr.2005.05.004","volume":"76","author":"AR Sedighi","year":"2005","unstructured":"Sedighi AR, Haghifam MR, Malik OP (2005) Soft computing applications in high impedance fault detection in distribution systems. Electr Power Syst Res 76:136\u2013144","journal-title":"Electr Power Syst Res"},{"issue":"3","key":"9328_CR36","doi-asserted-by":"crossref","first-page":"114","DOI":"10.4316\/aece.2010.03019","volume":"10","author":"M Sedighizadeh","year":"2010","unstructured":"Sedighizadeh M, Rezazadeh A, Elkalashy NI (2010) Approaches in high impedance fault detection: a chronological review. Adv Electr Comput Eng 10(3):114\u2013128","journal-title":"Adv Electr Comput Eng"},{"key":"9328_CR37","doi-asserted-by":"crossref","unstructured":"Silva JA, Neves WL, Costa FB, Souza BA, Santos WC (2013) High impedance fault location; case study using wavelet transform and artificial neural networks. In: International conference on electricity distribution, pp 1\u20134","DOI":"10.1049\/cp.2013.0868"},{"key":"9328_CR38","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1016\/j.epsr.2017.08.039","volume":"154","author":"S Silva","year":"2018","unstructured":"Silva S, Costa P, Gouvea M, Lacerda A, Alves F, Leite D (2018) High impedance fault detection in power distribution systems using wavelet transform and evolving neural network. Electr Power Syst Res 154:474\u2013483","journal-title":"Electr Power Syst Res"},{"key":"9328_CR39","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/j.ins.2019.03.060","volume":"490","author":"I \u0160krjanc","year":"2019","unstructured":"\u0160krjanc I, Iglesias JA, Sanchis A, Leite D, Lughofer E, Gomide F (2019) Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: a survey. Inf Sci 490:344\u2013368","journal-title":"Inf Sci"},{"issue":"1","key":"9328_CR40","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.ijepes.2014.03.046","volume":"61","author":"V Torres","year":"2014","unstructured":"Torres V, Guardado JL, Ruiz HF, Maximov S (2014) Modeling and detection of high impedance faults. Int J Electr Power 61(1):163\u2013172","journal-title":"Int J Electr Power"},{"issue":"3","key":"9328_CR41","first-page":"738","volume":"13","author":"DC Wai","year":"1998","unstructured":"Wai DC, Yibin X (1998) A novel technique for high impedance fault identification. IEEE Trans Power Deliv 13(3):738\u2013744","journal-title":"IEEE Trans Power Deliv"},{"key":"9328_CR42","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1109\/TSMCC.2008.2012254","volume":"39","author":"JM Watts","year":"2009","unstructured":"Watts JM (2009) A decade of evolving connectionist systems: a review. IEEE Trans Syst Man Cybern 39:253\u2013269","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"9328_CR43","doi-asserted-by":"crossref","unstructured":"Xiangjum Z, Li KK, Chan WL, Sheng S (2004) Multi-agents based protection for distributed generation systems. In: IEEE international conference on electric utility deregulation, restructuring and power technology, pp 393\u2013397","DOI":"10.1109\/DRPT.2004.1338528"},{"key":"9328_CR44","volume-title":"Regularized radial basis function networks: theory and applications","author":"P Yee","year":"2001","unstructured":"Yee P, Haykin S (2001) Regularized radial basis function networks: theory and applications. Wiley, New York"},{"key":"9328_CR45","doi-asserted-by":"crossref","unstructured":"Zamanan N, Sykulski J (2014) The evolution of high impedance fault modeling. In: IEEE international conference on harmonics and quality of power, pp 77\u201381","DOI":"10.1109\/ICHQP.2014.6842852"}],"container-title":["Evolving Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-020-09328-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12530-020-09328-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-020-09328-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,11]],"date-time":"2021-02-11T14:28:43Z","timestamp":1613053723000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12530-020-09328-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,12]]},"references-count":45,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["9328"],"URL":"https:\/\/doi.org\/10.1007\/s12530-020-09328-3","relation":{},"ISSN":["1868-6478","1868-6486"],"issn-type":[{"value":"1868-6478","type":"print"},{"value":"1868-6486","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,12]]},"assertion":[{"value":"4 October 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 January 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 February 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"This study was funded by Instituto Serrapilheira (Grant no. Serra-1812-26777) and Javna Agencija za Raziskovalno Dejavnost RS (Grant no. P2-0219).","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Funding"}}]}}