{"id":"https://openalex.org/W2970198135","doi":"https://doi.org/10.1109/icphm.2019.8819402","title":"Generating Mathematical Model of Equipment and Its Applications in PHM","display_name":"Generating Mathematical Model of Equipment and Its Applications in PHM","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2970198135","doi":"https://doi.org/10.1109/icphm.2019.8819402","mag":"2970198135"},"language":"en","primary_location":{"id":"doi:10.1109/icphm.2019.8819402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2019.8819402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Prognostics and Health Management (ICPHM)","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/A5109970447","display_name":"Pushe Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Pushe Zhao","raw_affiliation_strings":["Center for Technology Innovation - Electronics, Hitachi, Ltd., Research & Development Group, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Technology Innovation - Electronics, Hitachi, Ltd., Research & Development Group, Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042941311","display_name":"Masaru Kurihara","orcid":"https://orcid.org/0000-0001-9195-4202"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaru Kurihara","raw_affiliation_strings":["Center for Technology Innovation - Electronics, Hitachi, Ltd., Research & Development Group, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Technology Innovation - Electronics, Hitachi, Ltd., Research & Development Group, Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024001443","display_name":"Tojiro Noda","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tojiro Noda","raw_affiliation_strings":["Internet of Things System Development Dept., Hitachi Power Solutions Co., Ltd., Ibaraki-ken, Japan"],"affiliations":[{"raw_affiliation_string":"Internet of Things System Development Dept., Hitachi Power Solutions Co., Ltd., Ibaraki-ken, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034491645","display_name":"Hiroki Kashiwa","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Kashiwa","raw_affiliation_strings":["Internet of Things System Development Dept., Hitachi Power Solutions Co., Ltd., Ibaraki-ken, Japan"],"affiliations":[{"raw_affiliation_string":"Internet of Things System Development Dept., Hitachi Power Solutions Co., Ltd., Ibaraki-ken, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034062921","display_name":"Masaki Hiyama","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Hiyama","raw_affiliation_strings":["Internet of Things System Development Dept., Hitachi Power Solutions Co., Ltd., Ibaraki-ken, Japan"],"affiliations":[{"raw_affiliation_string":"Internet of Things System Development Dept., Hitachi Power Solutions Co., Ltd., Ibaraki-ken, Japan","institution_ids":["https://openalex.org/I65143321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109970447"],"corresponding_institution_ids":["https://openalex.org/I65143321"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09353301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9994999766349792,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9994999766349792,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9922000169754028,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/prognostics","display_name":"Prognostics","score":0.8852863311767578},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.6709192991256714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6234205365180969},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5636852383613586},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.55186927318573},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5397928357124329},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.4800911247730255},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4755656123161316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3673323392868042},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35377413034439087}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.8852863311767578},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6709192991256714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6234205365180969},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5636852383613586},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.55186927318573},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5397928357124329},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.4800911247730255},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4755656123161316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3673323392868042},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35377413034439087},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icphm.2019.8819402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2019.8819402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Prognostics and Health Management (ICPHM)","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":14,"referenced_works":["https://openalex.org/W1540327028","https://openalex.org/W1979769287","https://openalex.org/W2031103657","https://openalex.org/W2141807666","https://openalex.org/W2168949990","https://openalex.org/W2239232218","https://openalex.org/W2417460170","https://openalex.org/W2601590138","https://openalex.org/W2743189459","https://openalex.org/W2768148617","https://openalex.org/W2783918566","https://openalex.org/W2888869887","https://openalex.org/W2910597635","https://openalex.org/W6757645165"],"related_works":["https://openalex.org/W2310476526","https://openalex.org/W3213192587","https://openalex.org/W2144291498","https://openalex.org/W2535730979","https://openalex.org/W2370073012","https://openalex.org/W4386567722","https://openalex.org/W2168646784","https://openalex.org/W2030958945","https://openalex.org/W2466930957","https://openalex.org/W2127672515"],"abstract_inverted_index":{"We":[0,118],"developed":[1],"a":[2,6,36,70,128],"method":[3,26,57],"for":[4],"generating":[5,124],"mathematical":[7],"model":[8,12,37],"of":[9,20,79,104,115],"equipment.":[10],"The":[11,25,84,102],"can":[13,87],"be":[14],"used":[15],"in":[16],"many":[17],"model-based":[18],"applications":[19],"prognostics":[21],"and":[22,43,63,131],"health":[23],"management.":[24],"processes":[27],"sensor":[28],"data":[29,107],"obtained":[30,108],"from":[31,109],"target":[32],"equipment":[33],"to":[34,91],"generate":[35],"that":[38],"contains":[39],"sensors,":[40],"latent":[41,47],"variables,":[42],"approximate":[44,77],"equations.":[45],"First,":[46],"variables":[48,60,62,80],"are":[49],"generated":[50,85],"by":[51,68,126],"analyzing":[52],"correlation":[53],"coefficients.":[54],"Next,":[55],"the":[56,59,113,116,121,132],"divides":[58],"(latent":[61],"sensors)":[64],"into":[65],"several":[66],"groups":[67],"applying":[69],"hierarchical":[71],"clustering":[72],"method.":[73,134],"Finally,":[74],"it":[75],"generates":[76],"equations":[78,86],"within":[81],"each":[82],"group.":[83],"work":[88],"as":[89],"features":[90,125],"help":[92],"users":[93],"detect":[94],"potential":[95],"failures":[96],"or":[97],"estimate":[98],"remaining":[99],"useful":[100],"life.":[101],"results":[103],"experiments":[105],"using":[106,127],"electric":[110],"generators":[111],"shows":[112],"effectiveness":[114],"features.":[117],"also":[119],"discuss":[120],"differences":[122],"between":[123],"neural":[129],"network":[130],"proposed":[133]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
