{"id":"https://openalex.org/W4328007218","doi":"https://doi.org/10.1109/tim.2023.3259035","title":"DPMSLM Demagnetization Fault Detection Based on Texture Feature Analysis of Grayscale Fusion Image","display_name":"DPMSLM Demagnetization Fault Detection Based on Texture Feature Analysis of Grayscale Fusion Image","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4328007218","doi":"https://doi.org/10.1109/tim.2023.3259035"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3259035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3259035","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","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/A5057729634","display_name":"Juncai Song","orcid":"https://orcid.org/0000-0001-9253-623X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juncai Song","raw_affiliation_strings":["College of Internet, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"College of Internet, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040929777","display_name":"Shuo Liu","orcid":"https://orcid.org/0000-0003-2781-8876"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Liu","raw_affiliation_strings":["College of Electrical Engineering and Automation, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080759198","display_name":"Zhangling Duan","orcid":"https://orcid.org/0000-0003-3246-8022"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangling Duan","raw_affiliation_strings":["College of Internet, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"College of Internet, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001251870","display_name":"Xianhong Wu","orcid":"https://orcid.org/0000-0002-5983-8356"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianhong Wu","raw_affiliation_strings":["College of Electrical Engineering and Automation, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018149251","display_name":"Wei Ding","orcid":"https://orcid.org/0000-0002-4584-8553"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Ding","raw_affiliation_strings":["College of Electrical Engineering and Automation, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030712337","display_name":"Xiaoxian Wang","orcid":"https://orcid.org/0000-0002-5663-8842"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxian Wang","raw_affiliation_strings":["College of Electronics and Information Engineering, Anhui University, Hefei, China","Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037531844","display_name":"Siliang Lu","orcid":"https://orcid.org/0000-0002-3066-5623"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siliang Lu","raw_affiliation_strings":["College of Electrical Engineering and Automation, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5057729634"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":1.819,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82918324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9592000246047974,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.7605346441268921},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6409949660301208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6337633728981018},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5682421922683716},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5587359070777893},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5189447402954102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48100122809410095},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44619235396385193},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42231500148773193},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40019091963768005},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31984585523605347},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09755659103393555}],"concepts":[{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.7605346441268921},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6409949660301208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6337633728981018},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5682421922683716},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5587359070777893},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5189447402954102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48100122809410095},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44619235396385193},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42231500148773193},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40019091963768005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31984585523605347},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09755659103393555},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3259035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3259035","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1281745234","display_name":null,"funder_award_id":"2208085QE167","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G1312940345","display_name":null,"funder_award_id":"52207036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6305597104","display_name":null,"funder_award_id":"52075002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8992502610","display_name":null,"funder_award_id":"62203010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2065774120","https://openalex.org/W2073807880","https://openalex.org/W2077282160","https://openalex.org/W2086666260","https://openalex.org/W2133340171","https://openalex.org/W2166923577","https://openalex.org/W2310015280","https://openalex.org/W2343408121","https://openalex.org/W2519918482","https://openalex.org/W2521867561","https://openalex.org/W2564781577","https://openalex.org/W2565113203","https://openalex.org/W2770613718","https://openalex.org/W2889649225","https://openalex.org/W2908439415","https://openalex.org/W2919059038","https://openalex.org/W2935227321","https://openalex.org/W2945767701","https://openalex.org/W2950925862","https://openalex.org/W2961950980","https://openalex.org/W2981273801","https://openalex.org/W2994928929","https://openalex.org/W2997811078","https://openalex.org/W3001172743","https://openalex.org/W3008742617","https://openalex.org/W3021944625","https://openalex.org/W3041639847","https://openalex.org/W3087997944","https://openalex.org/W3088950075","https://openalex.org/W3100449589","https://openalex.org/W3120534616","https://openalex.org/W3133882362","https://openalex.org/W3192851400","https://openalex.org/W3195285466","https://openalex.org/W3198492417","https://openalex.org/W3213310142","https://openalex.org/W4223645279","https://openalex.org/W4226011871","https://openalex.org/W4312734799"],"related_works":["https://openalex.org/W115686965","https://openalex.org/W2768918307","https://openalex.org/W2040020606","https://openalex.org/W2110031805","https://openalex.org/W2113071088","https://openalex.org/W2321543601","https://openalex.org/W1990016983","https://openalex.org/W2972861887","https://openalex.org/W2393930098","https://openalex.org/W3148587068"],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"a":[3,167],"novel":[4],"image":[5,61,75,91,96,111],"morphology":[6,97],"texture":[7,98],"feature":[8,132,138],"extraction":[9],"method":[10,63,193,212],"to":[11,30,66,71,118,152],"realize":[12],"the":[13,31,37,58,80,90,95,102,120,137,141,164,184,191,197],"demagnetization":[14,81,121,154,203,220],"fault":[15,55,82,122,155,169],"location":[16,198],"and":[17,94,112,176,199,205,210],"severity":[18,200],"detection":[19],"of":[20,33,109,172,201],"double-sided":[21],"permanent":[22],"magnet":[23],"synchronous":[24],"linear":[25],"motor":[26,44,185],"(DPMSLM).":[27],"Initially,":[28],"according":[29],"constraints":[32],"DPMSLMs":[34],"topology":[35],"structure,":[36],"three":[38],"lines":[39],"magnetic":[40],"density":[41],"signal":[42,70],"in":[43,217],"air":[45],"gap":[46],"is":[47,64,129,150,207],"extracted":[48,117],"by":[49],"finite":[50],"element":[51],"analysis":[52],"as":[53,101],"effective":[54,209],"signal.":[56],"Then,":[57],"grayscale":[59,74],"fusion":[60],"(GFI)":[62],"introduced":[65],"transform":[67],"1D":[68],"data":[69],"2D":[72],"fused":[73],"which":[76,134,213],"can":[77,115,135,194,214],"better":[78],"describe":[79],"information.":[83],"The":[84],"unique":[85],"features":[86,99],"are":[87],"visualized":[88],"using":[89],"enhancement":[92],"techniques,":[93],"such":[100],"area,":[103],"Euler":[104],"number,":[105],"perimeter":[106],"operator,":[107],"correlation":[108],"binary":[110],"so":[113],"on":[114],"be":[116,215],"constitute":[119],"indexes.":[123],"In":[124],"addition,":[125],"fisher":[126],"score":[127],"(FS)":[128],"used":[130],"for":[131],"optimization":[133,144],"reduce":[136],"dimension.":[139],"Furthermore,":[140],"two-level":[142],"multiverse":[143],"support":[145],"vector":[146],"machine":[147],"(MVO-SVM)":[148],"algorithm":[149],"established":[151],"conduct":[153],"classification.":[156],"Comparison":[157],"experiments":[158],"with":[159],"other":[160],"classifiers":[161],"show":[162,189],"that":[163,190],"MVO-SVM":[165],"has":[166],"high":[168],"identification":[170],"accuracy":[171],"more":[173],"than":[174,181],"98.3%":[175],"low":[177],"running":[178],"time":[179],"less":[180],"2.57s.":[182],"Finally,":[183],"prototype":[186],"experiment":[187],"results":[188],"proposed":[192],"accurately":[195],"identify":[196],"DPMSLM":[202],"faults,":[204],"it":[206],"an":[208],"feasible":[211],"applied":[216],"DPMLM":[218],"batch":[219],"inspection":[221],"before":[222],"delivery.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
