{"id":"https://openalex.org/W2062620768","doi":"https://doi.org/10.1142/s0218213013600117","title":"FEATURE SELECTION FOR OPTIMIZATION OF WAVELET PACKET DECOMPOSITION IN RELIABILITY ANALYSIS OF SYSTEMS","display_name":"FEATURE SELECTION FOR OPTIMIZATION OF WAVELET PACKET DECOMPOSITION IN RELIABILITY ANALYSIS OF SYSTEMS","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2062620768","doi":"https://doi.org/10.1142/s0218213013600117","mag":"2062620768"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213013600117","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213013600117","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-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/A5047817565","display_name":"Randall Wald","orcid":null},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"RANDALL WALD","raw_affiliation_strings":["Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, Florida, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, Florida, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089170562","display_name":"Taghi M. Khoshgoftaar","orcid":null},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"TAGHI M. KHOSHGOFTAAR","raw_affiliation_strings":["Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, Florida, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, Florida, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063164258","display_name":"John Sloan","orcid":null},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"JOHN C. SLOAN","raw_affiliation_strings":["Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, Florida, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, Florida, USA","institution_ids":["https://openalex.org/I63772739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047817565"],"corresponding_institution_ids":["https://openalex.org/I63772739"],"apc_list":null,"apc_paid":null,"fwci":1.0177,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81260959,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"22","issue":"05","first_page":"1360011","last_page":"1360011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9988999962806702,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9988999962806702,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9941999912261963,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9555000066757202,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.821222186088562},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.7521763443946838},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7072791457176208},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5699814558029175},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5481739640235901},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5348106622695923},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.5126296877861023},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4876619577407837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4805094003677368},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46085992455482483},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4573989510536194},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.45326516032218933},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4440041482448578},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4128512144088745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4115142822265625},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3612934648990631},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.1912853717803955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.821222186088562},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.7521763443946838},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7072791457176208},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5699814558029175},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5481739640235901},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5348106622695923},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.5126296877861023},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4876619577407837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4805094003677368},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46085992455482483},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4573989510536194},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.45326516032218933},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4440041482448578},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4128512144088745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4115142822265625},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3612934648990631},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.1912853717803955},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213013600117","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213013600117","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W43671381","https://openalex.org/W1498686849","https://openalex.org/W1570448133","https://openalex.org/W1570651648","https://openalex.org/W1652549100","https://openalex.org/W1964551425","https://openalex.org/W1977020076","https://openalex.org/W1992795012","https://openalex.org/W2000858579","https://openalex.org/W2007365683","https://openalex.org/W2020851226","https://openalex.org/W2021909145","https://openalex.org/W2025333535","https://openalex.org/W2025486220","https://openalex.org/W2048076701","https://openalex.org/W2056337397","https://openalex.org/W2072599024","https://openalex.org/W2080521990","https://openalex.org/W2082860461","https://openalex.org/W2085708433","https://openalex.org/W2102831150","https://openalex.org/W2108744642","https://openalex.org/W2113327167","https://openalex.org/W2119374546","https://openalex.org/W2123504579","https://openalex.org/W2127448490","https://openalex.org/W2131391419","https://openalex.org/W2133990480","https://openalex.org/W2142586459","https://openalex.org/W2145103737","https://openalex.org/W2156447271","https://openalex.org/W2164627280","https://openalex.org/W2435251607"],"related_works":["https://openalex.org/W4245508182","https://openalex.org/W2001666425","https://openalex.org/W2046633342","https://openalex.org/W2358883208","https://openalex.org/W2370050053","https://openalex.org/W2372936409","https://openalex.org/W53954450","https://openalex.org/W2365287829","https://openalex.org/W2389645710","https://openalex.org/W2379553594"],"abstract_inverted_index":{"One":[0],"of":[1,6,12,25,61,69,71,87,98,117,129,144],"the":[2,10,20,50,59,67,96,104,130,134,142],"most":[3,128],"important":[4],"types":[5],"signal":[7],"found":[8],"in":[9,66,76,84],"area":[11],"machine":[13,105],"condition":[14],"monitoring/prognostic":[15],"health":[16],"monitoring":[17],"(MCM/PHM)":[18],"is":[19],"vibration":[21],"signal,":[22],"a":[23,111],"type":[24],"waveform.":[26],"Many":[27],"time-frequency":[28],"domain":[29],"techniques":[30],"have":[31],"been":[32],"proposed":[33],"to":[34,48,53,93],"interpret":[35],"such":[36],"signals,":[37,57],"including":[38],"wavelet":[39],"packet":[40],"decomposition":[41],"(WPD).":[42],"Previous":[43],"work":[44],"has":[45],"shown":[46],"how":[47],"extend":[49],"WPD":[51,118,135],"algorithm":[52],"operate":[54],"on":[55],"streaming":[56],"but":[58],"number":[60,68,97],"output":[62,99],"variables":[63,100],"becomes":[64],"exponential":[65],"levels":[70],"decomposition,":[72],"hindering":[73],"data":[74,88],"mining":[75],"limited-memory":[77],"environments.":[78],"Feature":[79],"selection":[80],"techniques,":[81],"well":[82],"understood":[83],"other":[85],"areas":[86],"mining,":[89],"can":[90],"be":[91],"used":[92],"greatly":[94],"reduce":[95],"and":[101,121],"speed":[102],"up":[103],"learning":[106],"algorithms.":[107],"This":[108],"paper":[109],"presents":[110],"case":[112],"study":[113],"comparing":[114],"two":[115],"versions":[116],"both":[119],"with":[120],"without":[122],"feature":[123],"selection,":[124],"demonstrating":[125],"that":[126],"removing":[127],"features":[131],"produced":[132],"by":[133],"does":[136],"not":[137],"impair":[138],"its":[139],"performance":[140],"within":[141],"context":[143],"MCM/PHM.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
