{"id":"https://openalex.org/W4401416959","doi":"https://doi.org/10.1109/icra57147.2024.10610205","title":"Measuring Ball Joint Faults in Parabolic-Trough Solar Plants with Data Augmentation and Deep Learning","display_name":"Measuring Ball Joint Faults in Parabolic-Trough Solar Plants with Data Augmentation and Deep Learning","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4401416959","doi":"https://doi.org/10.1109/icra57147.2024.10610205"},"language":"en","primary_location":{"id":"doi:10.1109/icra57147.2024.10610205","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icra57147.2024.10610205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004816382","display_name":"Miguel-Angel P\u00e9rez-Cuti\u00f1o","orcid":"https://orcid.org/0000-0002-8841-2565"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M. A. P\u00e9rez-Cuti\u00f1o","raw_affiliation_strings":["University of Seville,Department of Applied Mathematics II,Seville,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Seville,Department of Applied Mathematics II,Seville,Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082605313","display_name":"Jes\u00fas Capit\u00e1n","orcid":"https://orcid.org/0000-0002-7534-0187"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Capit\u00e1n","raw_affiliation_strings":["University of Seville,Multi-Robot Lab,Seville,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Seville,Multi-Robot Lab,Seville,Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012843243","display_name":"Jos\u00e9 Miguel D\u00edaz-B\u00e1\u00f1ez","orcid":"https://orcid.org/0000-0002-4031-4309"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. M. D\u00edaz-B\u00e1\u00f1ez","raw_affiliation_strings":["University of Seville,Department of Applied Mathematics II,Seville,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Seville,Department of Applied Mathematics II,Seville,Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002930773","display_name":"J. Valverde","orcid":"https://orcid.org/0000-0002-8065-800X"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Valverde","raw_affiliation_strings":["University of Seville,Department of Applied Mathematics II,Seville,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Seville,Department of Applied Mathematics II,Seville,Spain","institution_ids":["https://openalex.org/I79238269"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79238269"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8435","last_page":"8441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9661999940872192,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parabolic-trough","display_name":"Parabolic trough","score":0.6962966322898865},{"id":"https://openalex.org/keywords/trough","display_name":"Trough (economics)","score":0.6692937016487122},{"id":"https://openalex.org/keywords/ball","display_name":"Ball (mathematics)","score":0.5094037652015686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4746837317943573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43594443798065186},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41200608015060425},{"id":"https://openalex.org/keywords/solar-energy","display_name":"Solar energy","score":0.2706422805786133},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.18559640645980835},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18469667434692383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16040515899658203},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14531788229942322}],"concepts":[{"id":"https://openalex.org/C2781249646","wikidata":"https://www.wikidata.org/wiki/Q2051219","display_name":"Parabolic trough","level":3,"score":0.6962966322898865},{"id":"https://openalex.org/C32239851","wikidata":"https://www.wikidata.org/wiki/Q7846538","display_name":"Trough (economics)","level":2,"score":0.6692937016487122},{"id":"https://openalex.org/C122041747","wikidata":"https://www.wikidata.org/wiki/Q838611","display_name":"Ball (mathematics)","level":2,"score":0.5094037652015686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4746837317943573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43594443798065186},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41200608015060425},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.2706422805786133},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.18559640645980835},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18469667434692383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16040515899658203},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14531788229942322},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra57147.2024.10610205","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icra57147.2024.10610205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1988924843","https://openalex.org/W2527020089","https://openalex.org/W2751876073","https://openalex.org/W2761788473","https://openalex.org/W2774320778","https://openalex.org/W2774356095","https://openalex.org/W2912837502","https://openalex.org/W2952122856","https://openalex.org/W2963150697","https://openalex.org/W2965060982","https://openalex.org/W3014641072","https://openalex.org/W3205434731","https://openalex.org/W4205174848","https://openalex.org/W4210746697","https://openalex.org/W4225394155","https://openalex.org/W4285102453","https://openalex.org/W4289731133","https://openalex.org/W4292819225","https://openalex.org/W4293093514","https://openalex.org/W4311166789","https://openalex.org/W4380854486","https://openalex.org/W4385518021","https://openalex.org/W4388342213"],"related_works":["https://openalex.org/W2021239648","https://openalex.org/W2051051773","https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790"],"abstract_inverted_index":{"Automatic":[0],"inspection":[1],"of":[2,19,102,110,122,137],"parabolic-trough":[3],"solar":[4],"plants":[5,149],"is":[6,39,44],"key":[7],"to":[8,30,63,70,129,167],"preventing":[9],"failures":[10],"that":[11,43,151],"can":[12,153],"harm":[13],"the":[14,17,49,95,123,135,138],"environment":[15],"and":[16,85,90,114,133,157],"production":[18],"green":[20],"energy.":[21],"In":[22,68],"this":[23],"work,":[24],"we":[25,75,152],"propose":[26,127],"a":[27,40,77,162],"novel":[28,78],"methodology":[29],"inspect":[31],"ball":[32,65],"joints":[33,84],"in":[34,48],"parabolic":[35],"trough":[36],"collectors,":[37],"which":[38],"relevant":[41],"problem":[42],"not":[45],"adequately":[46],"covered":[47],"literature.":[50],"Images":[51],"collected":[52],"by":[53,82,108,118],"an":[54],"Unmanned":[55],"Aerial":[56],"Vehicle":[57],"are":[58,104],"segmented":[59],"using":[60],"deep":[61],"learning":[62],"extract":[64],"joint":[66,120],"components.":[67,140],"order":[69],"generate":[71],"rich":[72],"training":[73],"datasets,":[74],"develop":[76],"data":[79],"augmentation":[80],"technique":[81],"rotating":[83],"adding":[86],"synthetic":[87],"image":[88,111],"background,":[89],"demonstrate":[91],"its":[92],"impact":[93],"on":[94],"object":[96],"detection":[97],"accuracy.":[98],"Then":[99],"two":[100],"types":[101],"faults":[103,132],"analyzed:":[105],"fluid":[106],"leaks,":[107],"means":[109],"color":[112],"filtering;":[113],"geometric":[115],"shape":[116],"anomalies,":[117],"measuring":[119],"angles":[121],"robotic":[124],"arms.":[125],"We":[126],"metrics":[128],"quantify":[130],"these":[131],"evaluate":[134],"damage":[136],"inspected":[139],"Our":[141],"experimental":[142],"results":[143],"with":[144,161],"images":[145],"from":[146],"operating":[147],"commercial":[148],"show":[150],"automatically":[154],"detect":[155],"leaks":[156],"anomalous":[158],"angular":[159],"geometry":[160],"low":[163],"failure":[164],"rate":[165],"compared":[166],"human":[168],"labeling.":[169]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}