{"id":"https://openalex.org/W2091319256","doi":"https://doi.org/10.1145/1081870.1081917","title":"An approach to spacecraft anomaly detection problem using kernel feature space","display_name":"An approach to spacecraft anomaly detection problem using kernel feature space","publication_year":2005,"publication_date":"2005-08-21","ids":{"openalex":"https://openalex.org/W2091319256","doi":"https://doi.org/10.1145/1081870.1081917","mag":"2091319256"},"language":"en","primary_location":{"id":"doi:10.1145/1081870.1081917","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1081870.1081917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining","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/A5074328285","display_name":"Ryohei Fujimaki","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryohei Fujimaki","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105470668","display_name":"Takehisa Yairi","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takehisa Yairi","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109809754","display_name":"Kazuo Machida","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuo Machida","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074328285"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":2.7402,"has_fulltext":false,"cited_by_count":215,"citation_normalized_percentile":{"value":0.91073436,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"401","last_page":"410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9672999978065491,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9275000095367432,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spacecraft","display_name":"Spacecraft","score":0.7492684125900269},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7055943012237549},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6627491116523743},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5590018033981323},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5462181568145752},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5220513343811035},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.47076988220214844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4265672266483307},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42398619651794434},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33960771560668945},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.20801502466201782},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19914793968200684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19769877195358276},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13230878114700317}],"concepts":[{"id":"https://openalex.org/C29829512","wikidata":"https://www.wikidata.org/wiki/Q40218","display_name":"Spacecraft","level":2,"score":0.7492684125900269},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7055943012237549},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6627491116523743},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5590018033981323},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5462181568145752},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5220513343811035},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.47076988220214844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4265672266483307},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42398619651794434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33960771560668945},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.20801502466201782},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19914793968200684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19769877195358276},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13230878114700317},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1081870.1081917","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1081870.1081917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.79.1443","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.1443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.space.rcast.u-tokyo.ac.jp/fujimaki/f166-fujimaki.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334900","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W3001634","https://openalex.org/W4552575","https://openalex.org/W12006350","https://openalex.org/W76110957","https://openalex.org/W178169250","https://openalex.org/W854322902","https://openalex.org/W1512337152","https://openalex.org/W1537187158","https://openalex.org/W1555156243","https://openalex.org/W1567176099","https://openalex.org/W1601875254","https://openalex.org/W1675231743","https://openalex.org/W1964274671","https://openalex.org/W2107633943","https://openalex.org/W2119388857","https://openalex.org/W2123504323","https://openalex.org/W2140095548","https://openalex.org/W2613433911","https://openalex.org/W3119651796"],"related_works":["https://openalex.org/W2076520961","https://openalex.org/W2110459882","https://openalex.org/W4210685549","https://openalex.org/W2546942002","https://openalex.org/W2970216048","https://openalex.org/W2382607599","https://openalex.org/W2060018656","https://openalex.org/W3168785213","https://openalex.org/W2517539590","https://openalex.org/W2886616187"],"abstract_inverted_index":{"Development":[0],"of":[1,50,86,98,137,165,187,207,213,230],"advanced":[2],"anomaly":[3,77,109,160,216],"detection":[4,78,110,217],"and":[5,27,39,59,119,143,172,204],"failure":[6],"diagnosis":[7],"technologies":[8],"for":[9,46,112],"spacecraft":[10,113,170],"is":[11,24,80,90,198],"a":[12,53,61,83,96,106,124,135,192,201,205,228,238],"quite":[13],"significant":[14,176],"issue":[15],"in":[16,56,101,140,168,184,191],"the":[17,21,65,102,129,145,154,169,175,180,185,211,214,223,242],"space":[18,22,66,196],"industry,":[19],"because":[20],"environment":[23],"harsh,":[25],"distant":[26],"uncertain.":[28],"While":[29],"several":[30],"modern":[31],"approaches":[32],"based":[33,114],"on":[34,64,115],"qualitative":[35],"reasoning,":[36],"expert":[37],"systems,":[38],"probabilistic":[40],"reasoning":[41],"have":[42,209],"been":[43],"developed":[44],"recently":[45],"this":[47,75,156],"purpose,":[48],"any":[49],"them":[51],"has":[52],"common":[54],"difficulty":[55],"obtaining":[57],"accurate":[58],"complete":[60],"priori":[62],"knowledge":[63],"systems":[67],"from":[68,95,128,134,227],"human":[69],"experts.":[70],"A":[71],"reasonable":[72],"alternative":[73],"to":[74,81,222,236],"conventional":[76],"method":[79,111,218],"reuse":[82],"vast":[84],"amount":[85],"telemetry":[87,132,138,224],"data":[88,133,139,152,225],"which":[89,122,197],"multi-dimensional":[91],"time-series":[92],"continuously":[93],"produced":[94],"number":[97],"system":[99,125,147,181],"components":[100],"spacecraft.This":[103],"paper":[104],"proposes":[105],"novel":[107],"\"knowledge-free\"":[108],"Kernel":[116],"Feature":[117],"Space":[118,244],"directional":[120],"distribution,":[121],"constructs":[123],"behavior":[126],"model":[127],"past":[130],"normal":[131,141],"set":[136,206],"operation":[142],"monitors":[144],"current":[146],"status":[148],"by":[149,200,219],"checking":[150],"incoming":[151],"with":[153,241],"model.In":[155],"method,":[157],"we":[158],"regard":[159],"phenomena":[161],"as":[162],"unexpected":[163],"changes":[164],"causal":[166,177],"associations":[167,178],"system,":[171],"hypothesize":[173],"that":[174],"inside":[179],"will":[182],"appear":[183],"form":[186],"principal":[188],"component":[189],"directions":[190],"high-dimensional":[193],"non-linear":[194],"feature":[195],"constructed":[199],"kernel":[202],"function":[203],"data.We":[208],"confirmed":[210],"effectiveness":[212],"proposed":[215],"applying":[220],"it":[221],"obtained":[226],"simulator":[229],"an":[231],"orbital":[232],"transfer":[233],"vehicle":[234],"designed":[235],"make":[237],"rendezvous":[239],"maneuver":[240],"International":[243],"Station.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":15},{"year":2012,"cited_by_count":14}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
