{"id":"https://openalex.org/W3138697264","doi":"https://doi.org/10.3233/faia200061","title":"IMA System Health Assessment Method Based on Incremental Random Forest","display_name":"IMA System Health Assessment Method Based on Incremental Random Forest","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3138697264","doi":"https://doi.org/10.3233/faia200061","mag":"3138697264"},"language":"en","primary_location":{"id":"doi:10.3233/faia200061","is_oa":false,"landing_page_url":"https://doi.org/10.3233/faia200061","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5100340468","display_name":"Yujie Li","orcid":"https://orcid.org/0009-0007-3725-8135"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li Yujie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112113581","display_name":"Song Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song Dong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116338874","display_name":"Liu Zhiyue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu Zhiyue","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5116338875","display_name":"Cao Yuju","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao Yuju","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100340468"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40589647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"323","issue":null,"first_page":"193","last_page":"201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.6717000007629395,"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"}},"topics":[{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.6717000007629395,"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"}},{"id":"https://openalex.org/T13535","display_name":"Wireless Sensor Networks and IoT","score":0.6040999889373779,"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"}},{"id":"https://openalex.org/T13955","display_name":"Evaluation Methods in Various Fields","score":0.599399983882904,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6967957019805908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4519415497779846},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3942519724369049},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.37480252981185913},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2326401174068451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1741732358932495}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6967957019805908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4519415497779846},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3942519724369049},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.37480252981185913},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2326401174068451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1741732358932495}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/faia200061","is_oa":false,"landing_page_url":"https://doi.org/10.3233/faia200061","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"mag:3138697264","is_oa":false,"landing_page_url":"https://ebooks.iospress.nl/publication/53886","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Frontiers in artificial intelligence and applications","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W3135126032","https://openalex.org/W2390279801"],"abstract_inverted_index":{"Integrated":[0],"Modular":[1],"Avionics":[2],"(IMA)":[3],"system":[4,57,69,84,92,124,135],"realizes":[5],"the":[6,33,36,49,67,75,79,82,86,90,94,114,119,122,127,134,144,148,155,167],"residence":[7],"of":[8,35,48,81,89,121,143,147],"various":[9],"avionics":[10],"functions":[11],"on":[12,62,107],"standardized":[13],"hardware":[14],"and":[15,26,73,85,110],"integration":[16],"also":[17],"brings":[18],"some":[19],"problems":[20],"such":[21],"as":[22],"resource":[23],"defect":[24],"spread":[25],"functional":[27],"error":[28],"cross-linking.":[29],"To":[30],"make":[31],"sure":[32],"health":[34,46,58,70,80,87,103,136,145,161],"aircraft,":[37],"it":[38],"is":[39],"essential":[40],"to":[41,138],"carry":[42],"out":[43],"a":[44,102,140,159],"comprehensive":[45,141,160],"assessment":[47,59,71,104,162],"IMA":[50,56,68,83,91,123,149,168],"system.":[51,150,169],"This":[52],"paper":[53],"proposes":[54],"an":[55],"method":[60,105,156],"based":[61,106],"random":[63,108],"forest.":[64],"First,":[65],"build":[66],"framework":[72],"transform":[74],"mapping":[76],"that":[77,154],"affects":[78],"status":[88,146],"into":[93],"classification":[95],"problem":[96],"in":[97,130],"supervised":[98],"learning.":[99],"Then":[100],"give":[101],"forest,":[109],"through":[111,133],"incremental":[112],"learning,":[113],"new":[115],"data":[116],"generated":[117],"during":[118],"operation":[120],"can":[125,157],"improve":[126],"evaluation":[128,142],"effect":[129],"real-time.":[131],"Finally,":[132],"dataset":[137],"realize":[139],"The":[151],"results":[152],"show":[153],"perform":[158],"with":[163],"high":[164],"accuracy":[165],"for":[166]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-03-29T00:00:00"}
