{"id":"https://openalex.org/W1594324602","doi":"https://doi.org/10.1109/icdsp.2015.7251965","title":"Unified IGBT prognostic using natural computation","display_name":"Unified IGBT prognostic using natural computation","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1594324602","doi":"https://doi.org/10.1109/icdsp.2015.7251965","mag":"1594324602"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2015.7251965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2015.7251965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","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/A5101430659","display_name":"Mohammad Samie","orcid":"https://orcid.org/0000-0002-8850-5606"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammad Samie","raw_affiliation_strings":["IVHM Centre, Cranfiled University, Bedford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IVHM Centre, Cranfiled University, Bedford, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072834833","display_name":"Alireza Alghassi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alireza Alghassi","raw_affiliation_strings":["IVHM Centre, Cranfiled University, Bedford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IVHM Centre, Cranfiled University, Bedford, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087939941","display_name":"Suresh Perinpanayagam","orcid":"https://orcid.org/0000-0003-0942-1162"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suresh Perinpanayagam","raw_affiliation_strings":["IVHM Centre, Cranfiled University, Bedford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IVHM Centre, Cranfiled University, Bedford, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2008,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.57111375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"698","last_page":"702"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10361","display_name":"Silicon Carbide Semiconductor Technologies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10361","display_name":"Silicon Carbide Semiconductor Technologies","score":0.9998999834060669,"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/T10228","display_name":"Multilevel Inverters and Converters","score":0.996999979019165,"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/T11444","display_name":"Electromagnetic Compatibility and Noise Suppression","score":0.9915000200271606,"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/computer-science","display_name":"Computer science","score":0.7036218643188477},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5986946821212769},{"id":"https://openalex.org/keywords/insulated-gate-bipolar-transistor","display_name":"Insulated-gate bipolar transistor","score":0.543945848941803},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.5418077707290649},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.5242578983306885},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5110520124435425},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.44923287630081177},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44156622886657715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22086963057518005},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17944976687431335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11668914556503296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7036218643188477},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5986946821212769},{"id":"https://openalex.org/C28285623","wikidata":"https://www.wikidata.org/wiki/Q176110","display_name":"Insulated-gate bipolar transistor","level":3,"score":0.543945848941803},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.5418077707290649},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.5242578983306885},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5110520124435425},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.44923287630081177},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44156622886657715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22086963057518005},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17944976687431335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11668914556503296},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2015.7251965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2015.7251965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","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":13,"referenced_works":["https://openalex.org/W1568626416","https://openalex.org/W1913190651","https://openalex.org/W1964168151","https://openalex.org/W2042347652","https://openalex.org/W2075925061","https://openalex.org/W2082619602","https://openalex.org/W2089359622","https://openalex.org/W2109439697","https://openalex.org/W2149809968","https://openalex.org/W2152677897","https://openalex.org/W2492744407","https://openalex.org/W2538329651","https://openalex.org/W6682161801"],"related_works":["https://openalex.org/W2318746575","https://openalex.org/W3164416905","https://openalex.org/W2394855236","https://openalex.org/W2385832380","https://openalex.org/W2060044332","https://openalex.org/W2380046073","https://openalex.org/W2320548181","https://openalex.org/W2146642246","https://openalex.org/W2155742919","https://openalex.org/W1914681266"],"abstract_inverted_index":{"Within":[0],"the":[1,32,51,62,95,102,127,148,166],"field":[2],"of":[3,14,31,50,55,64,66,94,99,104,126,131,172],"Integrated":[4],"System":[5],"Health":[6],"Management,":[7],"ISHM,":[8],"there":[9],"is":[10,35,109,146],"still":[11],"a":[12,115,155],"lack":[13],"adequate":[15],"prognostic":[16,37,121,149],"models":[17,38,122],"for":[18,118],"critical":[19,129],"applications":[20],"while":[21,101],"systems":[22],"are":[23,162],"missioned":[24],"to":[25,42,91],"work":[26],"in":[27,44,140,154],"harsh":[28],"environments.":[29],"One":[30],"main":[33],"challenges":[34],"that":[36,48,135,147],"should":[39],"be":[40,58,152],"adaptive":[41],"changes":[43],"working":[45,70,168],"conditions":[46],"so":[47],"prediction":[49,76,93],"remaining":[52,96],"useful":[53,97],"life":[54,98],"systems/components":[56,100],"can":[57,151],"well":[59],"adjusted":[60,163],"with":[61],"dynamic":[63,171],"variation":[65],"both":[67],"system":[68],"and":[69,75,80,106,158,170],"conditions.":[71],"Among":[72],"various":[73],"modeling":[74,105],"techniques,":[77,83],"natural":[78],"computation":[79],"soft":[81],"computing":[82],"such":[84],"as":[85],"neural":[86],"networks,":[87],"offer":[88],"interesting":[89],"solutions":[90],"adjust":[92],"complexity":[103],"real-time":[107],"calculation":[108],"also":[110],"reduced.":[111],"This":[112],"paper":[113],"presents":[114,136],"radically-novel":[116],"approach":[117],"building":[119],"per-unit":[120,156],"applied":[123],"on":[124,165],"one":[125],"most":[128],"components":[130],"power":[132,141],"modules,":[133],"IGBT,":[134],"high":[137],"failure":[138],"rates":[139],"electronic":[142],"systems.":[143],"An":[144],"advantage":[145],"model":[150],"generalized":[153],"form;":[157],"then,":[159],"its":[160],"features":[161],"depending":[164],"application,":[167],"condition,":[169],"changes.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
