{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T17:09:24Z","timestamp":1783184964370,"version":"3.54.6"},"reference-count":66,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2016,4,9]],"date-time":"2016-04-09T00:00:00Z","timestamp":1460160000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Fujian science &amp; technology key project of China","award":["2013H0028"],"award-info":[{"award-number":["2013H0028"]}]},{"name":"Xiamen science &amp; technology project of China","award":["3502Z20143043"],"award-info":[{"award-number":["3502Z20143043"]}]},{"name":"Quanzhou science &amp; technology project of China","award":["2014Z114"],"award-info":[{"award-number":["2014Z114"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Arc faults can produce very high temperatures and can easily ignite combustible materials; thus, they represent one of the most important causes of electrical fires. The application of arc fault detection, as an emerging early fire detection technology, is required by the National Electrical Code to reduce the occurrence of electrical fires. However, the concealment, randomness and diversity of arc faults make them difficult to detect. To improve the accuracy of arc fault detection, a novel arc fault detector (AFD) is developed in this study. First, an experimental arc fault platform is built to study electrical fires. A high-frequency transducer and a current transducer are used to measure typical load signals of arc faults and normal states. After the common features of these signals are studied, high-frequency energy and current variations are extracted as an input eigenvector for use by an arc fault detection algorithm. Then, the detection algorithm based on a weighted least squares support vector machine is designed and successfully applied in a microprocessor. Finally, an AFD is developed. The test results show that the AFD can detect arc faults in a timely manner and interrupt the circuit power supply before electrical fires can occur. The AFD is not influenced by cross talk or transient processes, and the detection accuracy is very high. Hence, the AFD can be installed in low-voltage circuits to monitor circuit states in real-time to facilitate the early detection of electrical fires.<\/jats:p>","DOI":"10.3390\/s16040500","type":"journal-article","created":{"date-parts":[[2016,4,11]],"date-time":"2016-04-11T12:07:36Z","timestamp":1460376456000},"page":"500","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":74,"title":["A Novel Arc Fault Detector for Early Detection of Electrical Fires"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9820-3150","authenticated-orcid":false,"given":"Kai","family":"Yang","sequence":"first","affiliation":[{"name":"College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rencheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianhong","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Canhua","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shouhong","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fujiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China"},{"name":"School of Mechanical and Automotive Engineering, Fujian University of Technology, Fuzhou 350118, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2016,4,9]]},"reference":[{"key":"ref_1","unstructured":"United States Fire Administration National Fire Data Center (2015). Residential building fires (2011\u20132013). Top. Fire Rep. Ser., 16, 1\u201315."},{"key":"ref_2","unstructured":"Fire Department of Ministry of Public Security (2014). China Fire Services (2014), Yunnan People\u2019s Publishing House. (In Chinese)."},{"key":"ref_3","first-page":"569","article-title":"Analysis on China\u2019s electrical fire situation and feature from 2008 to 2012","volume":"33","author":"Si","year":"2014","journal-title":"Fire Sci. Technol."},{"key":"ref_4","unstructured":"Vadoli, C.N. (2011, January 13\u201317). Lessons learned from electrical circuit analysis in support of a fire probabilistic risk assessment. Proceedings of the International Topical Meeting on Probabilistic Safety Assessment and Analysis, Wilmington, NC, USA."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1023\/A:1015410726786","article-title":"New Technology for preventing residential electrical fires: Arc-fault circuit interrupters (AFCIs)","volume":"36","author":"Lee","year":"2000","journal-title":"Fire Technol."},{"key":"ref_6","unstructured":"United States Fire Administration National Fire Data Center (2014). Residential building fires (2009\u20132011). Top. Fire Rep. Ser., 14, 1\u201311."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"179","DOI":"10.2190\/AF.23.2.e","article-title":"Exploring the role of feature subset combinations on performance of multisensor fire detection","volume":"23","author":"Wang","year":"2013","journal-title":"J. Appl. Fire Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1647","DOI":"10.5194\/acp-15-1647-2015","article-title":"Characterization of forest fire smoke event near Washington, DC in summer 2013 with multi-wavelength lidar","volume":"15","author":"Veselovskii","year":"2015","journal-title":"Atmos. Chem. Phys."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"13680","DOI":"10.1364\/OE.22.013680","article-title":"Performance of a fire detector based on a compact laser spectroscopic carbon monoxide sensor","volume":"22","author":"Hangauer","year":"2014","journal-title":"Opt. Express"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"20717","DOI":"10.3390\/s150820717","article-title":"Low power wireless smoke alarm system in home fires","volume":"15","author":"Luis","year":"2015","journal-title":"Sensors"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"29535","DOI":"10.3390\/s151129535","article-title":"A real-time monitoring system of industry carbon monoxide based on wireless sensor networks","volume":"15","author":"Yang","year":"2015","journal-title":"Sensors"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1007\/s10694-014-0424-3","article-title":"Distinction of fire source from smoke using discrete probability distribution and neural networks","volume":"51","author":"Jee","year":"2014","journal-title":"Fire Technol."},{"key":"ref_13","unstructured":"Underwriters Laboratories Inc. (2011). UL Standard for Safety Arc-Fault Circuit-Interrupters, Underwriters Laboratories Inc.. [2nd ed.]."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1109\/TIA.1982.4504068","article-title":"The other electrical hazard: Electric arc flash","volume":"IA-18","author":"Lee","year":"1982","journal-title":"IEEE Trans. Ind. Appl."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"820","DOI":"10.1109\/TIA.1985.349502","article-title":"Arcing faults in metallic conduit at 120 and 240 V","volume":"IA-21","author":"Fuller","year":"1985","journal-title":"IEEE Trans. Ind. Appl."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1006","DOI":"10.1109\/TIA.2004.831287","article-title":"More about arc-fault circuit interrupters","volume":"40","author":"Gregory","year":"2004","journal-title":"IEEE Trans. Ind. Appl."},{"key":"ref_17","unstructured":"What Others Are Saying. Available online: http:\/\/www.afcisafety.org\/endorsements.html."},{"key":"ref_18","unstructured":"International Electrotechnical Commission (2013). General Requirements for Arc Fault Detection Devices, International Electrotechnical Commission. IEC 62606."},{"key":"ref_19","unstructured":"Gammon, T., and Matthews, J. (2000, January 7\u201311). Arcing-fault models for low-voltage power systems. Proceedings of the IEEE Industrial and Commercial Power Systems Technical Conference, Clearwater Beach, FL, USA."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1204","DOI":"10.1109\/TPWRD.2005.844231","article-title":"Arc fault model for low voltage AC systems","volume":"20","author":"Wu","year":"2005","journal-title":"IEEE Trans. Power Deliv."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1002\/etep.4450010111","article-title":"Digital simulation of fault arcs in power systems","volume":"1","author":"Kizilcay","year":"1991","journal-title":"Eur. Trans. Electr. Power Eng."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1002\/etep.4450050504","article-title":"Digital simulation of fault arcs on long-distance compensated transmission systems with particular reference to adaptive autoreclosure","volume":"5","author":"Song","year":"1995","journal-title":"Eur. Trans. Electr. Power"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1703","DOI":"10.1109\/TIA.2013.2256452","article-title":"Simplified arc-fault model: The reduction factor of the arc current","volume":"49","author":"Parise","year":"2013","journal-title":"IEEE Trans. Ind. Appl."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Andrea, J., Schweitzer, P., and Martel, J.M. (2011, January 11\u201314). Arc fault model of conductance application to the UL 1699 tests modeling. Proceedings of the 57th IEEE Holm Conference on Electrical Contacts, Minneapolis, MN, USA.","DOI":"10.1109\/HOLM.2011.6034778"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1109\/TPWRD.2008.2002873","article-title":"Electromagnetic radiation behavior of low-voltage arcing fault","volume":"24","author":"Charles","year":"2009","journal-title":"IEEE Trans. Power Deliv."},{"key":"ref_26","first-page":"194","article-title":"Study on application of arcing protective system faults based on multiple information fusion","volume":"43","author":"Yang","year":"2007","journal-title":"High Volt. Appar."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"611","DOI":"10.4028\/www.scientific.net\/KEM.381-382.611","article-title":"Study on in-process detection and diagnosis of faults arc based on early sounds signature and intermittent chaos","volume":"381","author":"Zhang","year":"2008","journal-title":"Key Eng. Mat."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1587","DOI":"10.1109\/TPWRD.2004.832407","article-title":"A new PMU-based fault detection location technique for transmission lines with consideration of arcing fault discrimination-part I theory and algorithms","volume":"19","author":"Lin","year":"2004","journal-title":"IEEE Trans. Power Deliv."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1523","DOI":"10.1002\/etep.1677","article-title":"Discrimination of arcing faults on overhead transmission lines for single-pole auto-reclosure","volume":"23","author":"Hasanzadeh","year":"2013","journal-title":"Int. Trans. Elecr. Energy Sys."},{"key":"ref_30","unstructured":"Boksiner, J., and Silverman, E.J. (1994). Electrical Cable Arcing Fault Detection by Monitoring Power Spectrum in Distribution Line. (5,359,293), U.S. Patent."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1169","DOI":"10.1109\/28.793379","article-title":"New insight into the detection of high-impedance arcing faults on DC trolley systems","volume":"35","author":"Li","year":"1999","journal-title":"IEEE Trans. Ind. Appl."},{"key":"ref_32","first-page":"324","article-title":"Detection of arc fault on low voltage power circuits in time and frequency domain approach","volume":"6","author":"Wang","year":"2012","journal-title":"IEEE Trans. Ind. Appl."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1548","DOI":"10.1109\/TPWRD.2013.2251753","article-title":"A low-cost power-quality meter with series arc-fault detection capability for smart","volume":"28","author":"Koziy","year":"2013","journal-title":"IEEE Trans. Power Deliv."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.epsr.2015.08.005","article-title":"An embedded system for AC series arc detection by inter-period correlations of current","volume":"129","author":"Lezama","year":"2015","journal-title":"Electr. Power Syst. Res."},{"key":"ref_35","unstructured":"Haun, A.A., Coats, A.G., Wong, K.B., Dvorak, R.F., and Scott, G.W. (2002). Arc Fault Circuit Interrupter. (6,414,829), U.S. Patent."},{"key":"ref_36","unstructured":"Dvorak, R.F., and Wong, K.B. (2006). Arc Fault Circuit Interrupter System. (7,151,656 B2), U.S. Patent."},{"key":"ref_37","unstructured":"Li, C.L., and Yue, G.L. (2015). Arc Fault Circuit Interrupter. (20150155698), U.S. Patent."},{"key":"ref_38","unstructured":"Nicolescu, A.D., and Orr, R.K. (2015). Arc Fault Detection and Extinguishing. (EP2,960,947), European Patent."},{"key":"ref_39","unstructured":"Su, W.Y., and Wu, C.J. (2010). The Assessment of Introduction of the Arc Fault Circuit Interrupters, Report prepared for Institute of Occupational Safety and Health. IOSH98-S302."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"51","DOI":"10.5755\/j01.eee.20.5.4294","article-title":"Identification of low voltage AC series arc faults by using Kalman filtering algorithm","volume":"20","author":"Zhang","year":"2014","journal-title":"Elektronika ir Elektrotechnika"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/S0925-2312(98)00067-8","article-title":"Arcing fault detection using artificial neural networks","volume":"23","author":"Sidhu","year":"1998","journal-title":"Neurocomputing"},{"key":"ref_42","unstructured":"Rivers, C. (2011). Arc Fault Detection Using Fuzzy Logic. (8,054,592 B2), U.S. Patent."},{"key":"ref_43","unstructured":"Zhang, R.C., Yang, J.H., and Li, X.H. Low-Voltage Arc Fault Detection Apparatus, Available online: http:\/\/www.pss-system.gov.cn\/sipopublicsearch\/search\/search\/showViewList.shtml."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1664","DOI":"10.6113\/JPE.2015.15.6.1664","article-title":"A series arc fault detection strategy for single-phase boost PFC rectifiers","volume":"15","author":"Cho","year":"2015","journal-title":"J. Power Electr."},{"key":"ref_45","first-page":"488","article-title":"Research on the Spectral Characteristics of Series Arc Fault Based on Information entropy","volume":"30","author":"Liu","year":"2015","journal-title":"Trans. China Electrotech. Soc."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"921","DOI":"10.1109\/TPWRD.2002.803780","article-title":"A novel fault-detection technique of high-impedance arcing faults in transmission lines using the wavelet transform","volume":"17","author":"Kim","year":"2002","journal-title":"IEEE Trans. Power Deliv."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1002\/etep.592","article-title":"A new method for arcing fault location using discrete wavelet transform and wavelet networks","volume":"22","author":"Jamali","year":"2012","journal-title":"Eur. Trans. Electr. Power"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.ijepes.2014.03.010","article-title":"Arcing fault identification using combined Gabor Transform-neural network for transmission lines","volume":"61","author":"Kawady","year":"2014","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Kolker, D., Campolo, S., and DiSalvo, N. (2007, January 16\u201319). A study of time\/current characteristics of the ignition processes in cellulosic material caused by electrical arcing for application in 240 V arc-fault circuit interrupters. Proceedings of the 53th IEEE Holm Conference on Electrical Contacts, Pittsburgh, PA, USA.","DOI":"10.1109\/HOLM.2007.4318202"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Shea, J.J. (2008, January 27\u201329). Comparing 240 Vrms to 120 Vrms series arcing faults in residential wire. Proceedings of the 54th IEEE Holm Conference on Electrical Contacts, Orlando, FL, USA.","DOI":"10.1109\/HOLM.2008.ECP.47"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Carvou, E., Ben Jemaa, N., Tian, S., Belhaja, Z., and Jusselin, B. (2009, January 14\u201316). Electrical arc characterization for ac-arc fault applications. Proceedings of the 55th IEEE Holm Conference on Electrical Contacts, Vancouver, BC, Canada.","DOI":"10.1109\/HOLM.2009.5284426"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1184","DOI":"10.5370\/KIEE.2013.62.8.1184","article-title":"Analysis of ignition time\/current characteristics and energy when series arc-fault occurs at rated 220 V","volume":"62","author":"Ko","year":"2013","journal-title":"Trans. Korean Inst. Electr. Eng."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1023\/A:1018628609742","article-title":"Least squares support vector machine classifiers","volume":"9","author":"Suykens","year":"1999","journal-title":"Neural Process. Lett."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.patrec.2013.12.010","article-title":"Confidence and prediction intervals for semiparametric mixed-effect least squares support vector machine","volume":"40","author":"Cheng","year":"2014","journal-title":"Pattern Recogn. Lett."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"90","DOI":"10.3390\/s16010090","article-title":"Identification of shearer cutting patterns using vibration signals based on a least squares support vector machine with an improved fruit fly optimization algorithm","volume":"16","author":"Si","year":"2016","journal-title":"Sensors"},{"key":"ref_56","unstructured":"General Administration of Quality Supervision, Inspection and Quarantine of the People\u2019s Republic of China, and Standardization Administration of the People\u2019s Republic of China (2014). Electrical Fire Monitoring System \u2013Part 4: Arcing Fault Detectors, Standards Press of China."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1063\/1.338250","article-title":"Electromagnetic radiation associated with the formation of an electric breakdown in air at atmospheric pressure","volume":"61","author":"Bondiou","year":"1987","journal-title":"J. Appl. Phys."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1063\/1.341971","article-title":"Detection of radio-frequency signals emitted by an arc discharge","volume":"64","author":"Damas","year":"1988","journal-title":"J. Appl. Phys."},{"key":"ref_59","first-page":"27","article-title":"Analysis on line noise characteristics of low voltage grid","volume":"4","author":"Zhang","year":"2012","journal-title":"North China Electr. Power"},{"key":"ref_60","first-page":"43","article-title":"The frequency range of switching power supply","volume":"6","author":"Zhu","year":"1994","journal-title":"TV Eng."},{"key":"ref_61","first-page":"83","article-title":"Study of spread spectrum in suppressing acoustic resonance","volume":"21","author":"Cheng","year":"2006","journal-title":"Trans. China Electrotech. Soc."},{"key":"ref_62","unstructured":"Wang, Q.M. (2012). A Study of Conducted Interference Testing and Corrective Measures for House Appliances, Suzhou University."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"955","DOI":"10.1162\/089976698300017575","article-title":"Properties of support vector machines","volume":"10","author":"Pontil","year":"1998","journal-title":"Neural Comput."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.neucom.2014.03.037","article-title":"A robust least squares support vector machine for regression and classification with noise","volume":"140","author":"Yang","year":"2014","journal-title":"Neurocomputing"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/S0925-2312(01)00644-0","article-title":"Weighted least squares support vector machines robustness and sparse approximation","volume":"48","author":"Suykens","year":"2002","journal-title":"Neurocomputing"},{"key":"ref_66","first-page":"238","article-title":"Determination method of electric shock current based on parameter-optimized least squares support vector machine","volume":"30","author":"Han","year":"2014","journal-title":"Trans. Chin. Soc. Agric. Eng."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/4\/500\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:22:00Z","timestamp":1760210520000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/4\/500"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4,9]]},"references-count":66,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2016,4]]}},"alternative-id":["s16040500"],"URL":"https:\/\/doi.org\/10.3390\/s16040500","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,4,9]]}}}