{"id":"https://openalex.org/W4380029486","doi":"https://doi.org/10.1109/icit58465.2023.10143153","title":"EMD-KPCA based Short Circuit Fault Diagnosis Method for Battery Pack","display_name":"EMD-KPCA based Short Circuit Fault Diagnosis Method for Battery Pack","publication_year":2023,"publication_date":"2023-04-04","ids":{"openalex":"https://openalex.org/W4380029486","doi":"https://doi.org/10.1109/icit58465.2023.10143153"},"language":"en","primary_location":{"id":"doi:10.1109/icit58465.2023.10143153","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58465.2023.10143153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-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/A5040647168","display_name":"Yuchen Qian","orcid":"https://orcid.org/0009-0004-6567-8792"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuchen Qian","raw_affiliation_strings":["North China Electric Power University,Department of Automation,Baoding,China","Department of Automation, North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"North China Electric Power University,Department of Automation,Baoding,China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Department of Automation, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102801108","display_name":"Lin Han","orcid":"https://orcid.org/0009-0001-6606-0669"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Lin","raw_affiliation_strings":["North China Electric Power University,Department of Automation,Baoding,China","Department of Automation, North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"North China Electric Power University,Department of Automation,Baoding,China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Department of Automation, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040647168"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05711749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10663","display_name":"Advanced Battery Technologies Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10018","display_name":"Advancements in Battery Materials","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/fault","display_name":"Fault (geology)","score":0.658733606338501},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6177608370780945},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5742655992507935},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.5704283118247986},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5663019418716431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5637931227684021},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5424301624298096},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.47592929005622864},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.47173988819122314},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.4606786370277405},{"id":"https://openalex.org/keywords/battery-pack","display_name":"Battery pack","score":0.45078009366989136},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4454202353954315},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4250005781650543},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.41363975405693054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37461575865745544},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.327554851770401},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.2009437382221222},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12754791975021362},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.11287012696266174},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10162881016731262},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10086584091186523}],"concepts":[{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.658733606338501},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6177608370780945},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5742655992507935},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.5704283118247986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5663019418716431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5637931227684021},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5424301624298096},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.47592929005622864},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.47173988819122314},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.4606786370277405},{"id":"https://openalex.org/C2778508592","wikidata":"https://www.wikidata.org/wiki/Q420116","display_name":"Battery pack","level":4,"score":0.45078009366989136},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4454202353954315},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4250005781650543},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.41363975405693054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37461575865745544},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.327554851770401},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.2009437382221222},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12754791975021362},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.11287012696266174},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10162881016731262},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10086584091186523},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit58465.2023.10143153","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58465.2023.10143153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2554940833","https://openalex.org/W2568828645","https://openalex.org/W2569533844","https://openalex.org/W2771565023","https://openalex.org/W2789790972","https://openalex.org/W2790625295","https://openalex.org/W2791696404","https://openalex.org/W2988649691","https://openalex.org/W3006490649","https://openalex.org/W3008127057","https://openalex.org/W3028599232","https://openalex.org/W3082924357","https://openalex.org/W3087709927","https://openalex.org/W3088523737","https://openalex.org/W3089294463","https://openalex.org/W3120243450","https://openalex.org/W3121588127","https://openalex.org/W3135142506","https://openalex.org/W4213030023","https://openalex.org/W4295046711"],"related_works":["https://openalex.org/W2379488555","https://openalex.org/W2753886092","https://openalex.org/W2152632846","https://openalex.org/W1992961908","https://openalex.org/W2014683590","https://openalex.org/W2944973397","https://openalex.org/W3138125914","https://openalex.org/W2359742711","https://openalex.org/W2139392257","https://openalex.org/W2474947501"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"a":[3,39,47,87,135],"new":[4,48,59],"sensor":[5],"topology":[6],"and":[7,45,65,128],"signal":[8],"processing":[9],"method":[10,125],"for":[11],"battery":[12,43,101],"pack":[13],"faults":[14,99],"are":[15,55,70],"proposed.":[16],"First,":[17],"measure":[18],"the":[19,25,42,58,66,79,116,121],"voltage":[20],"of":[21,30,112,140],"each":[22],"cell,":[23],"calculate":[24],"recursive":[26],"correlation":[27],"coefficient":[28],"(CC)":[29],"adjacent":[31],"cell":[32],"voltages":[33],"to":[34,85,91,106],"detect":[35],"whether":[36],"there":[37],"is":[38,83],"fault":[40,88,93,123,136],"in":[41,104],"pack,":[44],"form":[46],"data":[49],"matrix.":[50],"Then,":[51],"various":[52],"feature":[53],"indicators":[54],"extracted":[56,71],"from":[57],"matrix":[60],"by":[61,72],"classical":[62],"modal":[63],"decomposition,":[64],"most":[67],"representative":[68],"features":[69],"Kernel":[73],"Principal":[74],"Component":[75],"Analysis":[76],"(KPCA).":[77],"Finally,":[78],"support":[80],"vector":[81],"machine":[82],"used":[84],"build":[86],"classification":[89],"model":[90],"identify":[92],"features.":[94],"Physically":[95],"trigger":[96],"internal":[97,131],"short-circuit":[98,132],"on":[100],"packs":[102],"connected":[103],"series":[105],"obtain":[107],"realistic":[108],"datasets.":[109],"A":[110],"comparison":[111],"different":[113],"algorithms":[114],"under":[115],"same":[117],"conditions":[118],"shows":[119],"that":[120],"proposed":[122],"diagnosis":[124],"can":[126],"accurately":[127],"reliably":[129],"predict":[130],"faults,":[133],"with":[134],"detection":[137],"success":[138],"rate":[139],"80%.":[141]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}