{"id":"https://openalex.org/W4408073938","doi":"https://doi.org/10.1142/s021812662550269x","title":"Multi-Parameter Electromagnetic Measurement and Neural Network-Based Fatigue Degree Assessment in Ferromagnetic Materials","display_name":"Multi-Parameter Electromagnetic Measurement and Neural Network-Based Fatigue Degree Assessment in Ferromagnetic Materials","publication_year":2025,"publication_date":"2025-02-28","ids":{"openalex":"https://openalex.org/W4408073938","doi":"https://doi.org/10.1142/s021812662550269x"},"language":"en","primary_location":{"id":"doi:10.1142/s021812662550269x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021812662550269x","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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":null,"display_name":"Chen Wu","orcid":"https://orcid.org/0009-0008-5460-0438"},"institutions":[{"id":"https://openalex.org/I4210092223","display_name":"Suzhou Vocational University","ror":"https://ror.org/00hn8pj83","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092223"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Wu","raw_affiliation_strings":["College of Electronic Information Engineering, Suzhou Vocational University, Suzhou, Jiangsu 215204, P. R. China"],"raw_orcid":"https://orcid.org/0009-0008-5460-0438","affiliations":[{"raw_affiliation_string":"College of Electronic Information Engineering, Suzhou Vocational University, Suzhou, Jiangsu 215204, P. R. China","institution_ids":["https://openalex.org/I4210092223"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ye Shi","orcid":"https://orcid.org/0009-0009-6226-278X"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Shi","raw_affiliation_strings":["State Grid Anhui Susong Electric Power Company, Anqing, Anhui 215131, P. R. China"],"raw_orcid":"https://orcid.org/0009-0009-6226-278X","affiliations":[{"raw_affiliation_string":"State Grid Anhui Susong Electric Power Company, Anqing, Anhui 215131, P. R. China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051442708","display_name":"Feng Bu","orcid":"https://orcid.org/0000-0003-3761-6848"},"institutions":[{"id":"https://openalex.org/I4210092223","display_name":"Suzhou Vocational University","ror":"https://ror.org/00hn8pj83","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Bu","raw_affiliation_strings":["College of Electronic Information Engineering, Suzhou Vocational University, Suzhou, Jiangsu 215204, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-3761-6848","affiliations":[{"raw_affiliation_string":"College of Electronic Information Engineering, Suzhou Vocational University, Suzhou, Jiangsu 215204, P. R. China","institution_ids":["https://openalex.org/I4210092223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210092223"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03169085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":"16","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9957000017166138,"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":0.9957000017166138,"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/T11222","display_name":"Magnetic Properties and Applications","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9639000296592712,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.6850523948669434},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6348884701728821},{"id":"https://openalex.org/keywords/ferromagnetism","display_name":"Ferromagnetism","score":0.5537899732589722},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.43826767802238464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3962395191192627},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.354034960269928},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.347545325756073},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.32408082485198975},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2945636510848999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2876197099685669},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2743830680847168},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.25726091861724854},{"id":"https://openalex.org/keywords/condensed-matter-physics","display_name":"Condensed matter physics","score":0.22098812460899353}],"concepts":[{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.6850523948669434},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6348884701728821},{"id":"https://openalex.org/C82217956","wikidata":"https://www.wikidata.org/wiki/Q184207","display_name":"Ferromagnetism","level":2,"score":0.5537899732589722},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.43826767802238464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3962395191192627},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.354034960269928},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.347545325756073},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.32408082485198975},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2945636510848999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2876197099685669},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2743830680847168},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.25726091861724854},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.22098812460899353}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s021812662550269x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021812662550269x","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.6000000238418579,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1811384192","https://openalex.org/W2094804587","https://openalex.org/W2533396546","https://openalex.org/W2564676773","https://openalex.org/W2888282839","https://openalex.org/W2903173638","https://openalex.org/W3024502002","https://openalex.org/W3085494719","https://openalex.org/W3215925395","https://openalex.org/W4225146596","https://openalex.org/W4283651982","https://openalex.org/W4304944072","https://openalex.org/W4377140937","https://openalex.org/W4378697106","https://openalex.org/W4386278515","https://openalex.org/W4389856829","https://openalex.org/W4394565973","https://openalex.org/W4396569352","https://openalex.org/W4396652891","https://openalex.org/W4401416348"],"related_works":["https://openalex.org/W2399035783","https://openalex.org/W3161230432","https://openalex.org/W4367190712","https://openalex.org/W2168900540","https://openalex.org/W2069401981","https://openalex.org/W2769433570","https://openalex.org/W1487201914","https://openalex.org/W4301429470","https://openalex.org/W2035332206","https://openalex.org/W2060905199"],"abstract_inverted_index":{"Fatigue":[0],"failure":[1,7],"is":[2,24,48,62,113],"a":[3,32,38,58],"common":[4],"mode":[5],"of":[6,45,68,97,135,141],"in":[8,19],"ferromagnetic":[9,20,46,136],"materials.":[10,151],"Nondestructive":[11],"electromagnetic":[12,52,69],"testing":[13,60],"technology":[14],"can":[15,129],"detect":[16],"microstructural":[17],"changes":[18],"materials,":[21,137],"but":[22],"it":[23],"challenging":[25],"to":[26,64,93,115],"accurately":[27,130],"estimate":[28],"fatigue":[29,43,117,133,145],"levels":[30],"using":[31],"single":[33],"parameter.":[34],"To":[35],"address":[36],"this,":[37],"method":[39,128],"for":[40,150],"evaluating":[41],"the":[42,95,98,132],"degree":[44,134],"materials":[47],"proposed,":[49],"combining":[50],"multi-parameter":[51,99],"measurements":[53],"with":[54],"neural":[55,110],"networks.":[56],"First,":[57],"multi-electromagnetic":[59],"system":[61],"established":[63],"collect":[65],"four":[66],"types":[67],"parameters,":[70],"which":[71],"include":[72],"magnetic":[73,79],"Barkhausen":[74],"noise,":[75],"incremental":[76],"permeability,":[77],"tangential":[78],"field":[80],"and":[81,87,147],"hysteresis":[82],"loop.":[83],"Then,":[84],"correlation":[85],"analysis":[86,90],"principal":[88],"component":[89],"are":[91],"performed":[92],"reduce":[94],"dimensionality":[96],"data,":[100],"constructing":[101],"an":[102,108,139],"effective":[103],"feature":[104],"parameter":[105],"set.":[106],"Finally,":[107],"improved":[109],"network":[111],"model":[112],"used":[114],"predict":[116],"levels.":[118],"Experimental":[119],"results":[120],"on":[121],"Q345":[122],"steel":[123],"samples":[124],"demonstrate":[125],"that":[126],"this":[127],"assess":[131],"achieving":[138],"accuracy":[140],"91%,":[142],"enabling":[143],"early":[144],"detection":[146],"life":[148],"prediction":[149]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}