[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-128160-en":3,"doc-seo-128160-105":31,"detail-sidebar-cat-0-en-105":93},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},128160,549768072016,"River Wang","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","A Comparison of Machine Learning Based Arc Detection For a Custom Low-Cost Multispectral Camera for UAV Applications - PhD Dissertation","Unmanned Aerial Vehicles (UAVs) enable more capable and accessible remote data collection, including maintenance of electrical equipment across wide service areas. This dissertation addresses constraints in UAV cost, sensor payload weight/power, and platform compatibility by proposing a custom, relatively low-cost multispectral camera using accessible components for electrical arcing detection. Three industrial cameras capture visual, ultraviolet, and infrared bands, supporting arc-related emission and heat-driven infrared radiation. A custom dataset is generated in varied outdoor lighting, then machine learning classification models and ensemble approaches are trained and compared to evaluate strengths and limitations for low-cost sensor developers.","University of Tennessee, Knoxville  \nTRACE: Tennessee Research and Creative Exchange  \n\n| Doctoral Dissertations | Graduate School |\n| --- | --- |\n| 5-2025\u003Cbr>A Comparison of Machine Learning Based Arc Detection For a Custom Low-Cost Multispectral Camera for UAV Applications\u003Cbr>Elizabeth Piersall\u003Cbr>University of Tennessee, Knoxville, [epiersal@vols.utk.edu](epiersal@vols.utk.edu)\u003Cbr>Follow this and additional works at: [https://trace.tennessee.edu/utk_graddiss](https://trace.tennessee.edu/utk_graddiss) |  |\n\nRecommended Citation  \nPiersall, Elizabeth, \"A Comparison of Machine Learning Based Arc Detection For a Custom Low-Cost Multispectral Camera for UAV Applications. \" PhD diss., University of Tennessee, 2025. [https://trace.tennessee.edu/utk_graddiss/12406](https://trace.tennessee.edu/utk_graddiss/12406)  \nThis Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [trace@utk.edu](trace@utk.edu).  \nTo the Graduate Council:  \nI am submitting herewith a dissertation written by Elizabeth Piersall entitled \"A Comparison of Machine Learning Based Arc Detection For a Custom Low-Cost Multispectral Camera for UAV Applications.\" I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Data Science and Engineering.  \nPeter L. Fuhr, Major Professor  \nWe have read this dissertation and recommend its acceptance: Yilu Liu, Fangxing F. Li , Ali R. Ekti  \nAccepted for the Council: Dr. Amy Cathey  \nVice Provost and Dean of the Graduate School  \n(Original signatures are on file with official student records.)  \nTo the Graduate Council:  \nI am submitting herewith a dissertation written by Elizabeth Piersall entitled “A Comparison of Machine Learning Based Arc Detection For a Custom Low-Cost Multispectral Camera for UAV Applications.” I have examined the final paper copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Data Science and Engineering.  \nDr. Peter Fuhr, Major Professor  \nWe have read this dissertation and recommend its acceptance:  \n\n| Dr. Yilu Liu |\n| --- |\n| Dr. Fangxing Li |\n\nDr. Ali Ekti  \nAccepted for the Council:  \nDixie L. Thompson  \nVice Provost and Dean of the Graduate School  \nTo the Graduate Council:  \nI am submitting herewith a dissertation written by Elizabeth Piersall entitled “A Comparison of Machine Learning Based Arc Detection For a Custom Low-Cost Multispectral Camera for UAV Applications.” I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Data Science and Engineering.  \nDr. Peter Fuhr, Major Professor  \nWe have read this dissertation and recommend its acceptance:  \nDr. Yilu Liu  \nDr. Fangxing Li  \nAccepted for the Council: Dixie L. Thompson  \nVice Provost and Dean of the Graduate School  \n(Original signatures are on file with official student records.)  \nA Comparison of Machine Learning Based Arc Detection Fora Custom Low-Cost Multispectral Camera for UAV Applications  \nA Dissertation Presented for the Doctor of Philosophy  \nDegree  \nThe University of Tennessee, Knoxville  \nElizabeth Piersall  \nMay 2025  \nAbstract  \nUnmanned Aerial Vehicles (UAVs), also known as drones, have seen increasingly widespread use in recent years with advancing technology in a variety of fields, and present an option to improve the capability and accessibility of remote data collection. One area that may benefit from this capacity is the m","cbCaitq3nKUPFPMD","https://ap.wps.com/l/cbCaitq3nKUPFPMD","pdf",11550606,6,1,152,"English","en",105,"# Abstract\n## UAV-based remote sensing and equipment maintenance\n## Custom low-cost multispectral camera system\n## Dataset generation in varied outdoor conditions\n## Machine learning model training and comparison","[{\"question\":\"What problem does the dissertation address?\",\"answer\":\"It addresses how to detect electrical arcing using a UAV-compatible, custom low-cost multispectral sensing system when conventional sensors can be expensive and platform-constrained.\"},{\"question\":\"How is the multispectral camera configured in this research?\",\"answer\":\"It uses three industrial cameras collecting visual, ultraviolet, and infrared light, where arc emissions appear in visual/UV and nearby heating increases infrared radiation.\"},{\"question\":\"What methods are compared for arc detection?\",\"answer\":\"The dissertation trains separate and ensemble machine learning image classification models, comparing model parameters and ensemble approaches to assess strengths and limitations.\"}]","A Comparison of Machine Learning Based Arc Detection For a Custom Low-Cost Multispectral Camera for UAV Applications - PhD Dissertation | PDF",1785945194,383,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":88,"head_meta":90,"extra_data":92,"updated_unix":29},"a-comparison-of-machine-learning-based-arc-detection-for-a-custom-low-cost-multispectral-camera-for-uav-applications-phd-dissertation","",{"@graph":37,"@context":87},[38,55,70],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/document/research-report/",3,{"item":53,"name":13,"@type":44,"position":54},"https://docshare.wps.com/document/a-comparison-of-machine-learning-based-arc-detection-for-a-custom-low-cost-multispectral-camera-for-uav-applications-phd-dissertation/128160/",4,{"url":53,"name":13,"@type":56,"author":57,"headline":13,"publisher":59,"fileFormat":62,"inLanguage":24,"description":14,"dateModified":63,"datePublished":64,"encodingFormat":62,"isAccessibleForFree":65,"interactionStatistic":66},"DigitalDocument",{"name":9,"@type":58},"Person",{"url":42,"name":60,"@type":61},"DocShare","Organization","application/pdf","2026-08-28","2026-08-05",true,{"@type":67,"interactionType":68,"userInteractionCount":20},"InteractionCounter",{"@type":69},"ViewAction",{"@type":71,"mainEntity":72},"FAQPage",[73,79,83],{"name":74,"@type":75,"acceptedAnswer":76},"What problem does the dissertation address?","Question",{"text":77,"@type":78},"It addresses how to detect electrical arcing using a UAV-compatible, custom low-cost multispectral sensing system when conventional sensors can be expensive and platform-constrained.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"How is the multispectral camera configured in this research?",{"text":82,"@type":78},"It uses three industrial cameras collecting visual, ultraviolet, and infrared light, where arc emissions appear in visual/UV and nearby heating increases infrared radiation.",{"name":84,"@type":75,"acceptedAnswer":85},"What methods are compared for arc detection?",{"text":86,"@type":78},"The dissertation trains separate and ensemble machine learning image classification models, comparing model parameters and ensemble approaches to assess strengths and limitations.","https://schema.org",{"og:url":53,"og:type":89,"og:title":13,"og:site_name":60,"og:description":14},"article",{"robots":91,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":94},[95,99,103,107,112,116,121,124,129,132,136],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":96,"show_sort_weight":97,"slug":98},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":100,"show_sort_weight":101,"slug":102},"Literature",80,"literature",{"id":54,"doc_module":4,"doc_module_name":47,"category_name":104,"show_sort_weight":105,"slug":106},"Exam",70,"exam",{"id":108,"doc_module":4,"doc_module_name":47,"category_name":109,"show_sort_weight":110,"slug":111},5,"Comic",60,"comic",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":114,"slug":115},"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":47,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":47,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":47,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":47,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":47,"category_name":138,"show_sort_weight":108,"slug":139},19,"General","general"]