{"id":"https://openalex.org/W2046442932","doi":"https://doi.org/10.1109/ijcnn.2007.4371338","title":"Feature Extraction of Waveform Signals for Uncertain Dynamic Processes Using Neural Networks","display_name":"Feature Extraction of Waveform Signals for Uncertain Dynamic Processes Using Neural Networks","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2046442932","doi":"https://doi.org/10.1109/ijcnn.2007.4371338","mag":"2046442932"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371338","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","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/A5034248263","display_name":"Yaw\u2010Jen Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yaw-Jen Chang","raw_affiliation_strings":["Department of Mechanical Engineering, Chung Yuan Christian University, Chungli, Taiwan","Chung Yuan Christian Univ., Chung-li"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Chung Yuan Christian University, Chungli, Taiwan","institution_ids":["https://openalex.org/I151221077"]},{"raw_affiliation_string":"Chung Yuan Christian Univ., Chung-li","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003937104","display_name":"Chi-Tim Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Tim Chang","raw_affiliation_strings":["Chung Yuan Christian University, Chung Li, TW","Chung Yuan Christian Univ., Chung-li"],"affiliations":[{"raw_affiliation_string":"Chung Yuan Christian University, Chung Li, TW","institution_ids":["https://openalex.org/I151221077"]},{"raw_affiliation_string":"Chung Yuan Christian Univ., Chung-li","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029227008","display_name":"Jui-Ju Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jui-Ju Tsai","raw_affiliation_strings":["Taiwan","Chung Yuan Christian Univ., Chung-li"],"affiliations":[{"raw_affiliation_string":"Taiwan","institution_ids":[]},{"raw_affiliation_string":"Chung Yuan Christian Univ., Chung-li","institution_ids":["https://openalex.org/I151221077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034248263"],"corresponding_institution_ids":["https://openalex.org/I151221077"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11388889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2427","last_page":"2431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9941999912261963,"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"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.801314651966095},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7074781060218811},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7036417126655579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6985281109809875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6025919914245605},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5936989784240723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5886039733886719},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5790719985961914},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48607614636421204},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4285306930541992},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.06824201345443726}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.801314651966095},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7074781060218811},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7036417126655579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6985281109809875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6025919914245605},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5936989784240723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5886039733886719},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5790719985961914},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48607614636421204},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4285306930541992},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.06824201345443726},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371338","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1576064560","https://openalex.org/W1991848143","https://openalex.org/W2049961362","https://openalex.org/W3037248615","https://openalex.org/W6634781106"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2176409448","https://openalex.org/W2129841057","https://openalex.org/W3040712279","https://openalex.org/W2364769705","https://openalex.org/W2056136368","https://openalex.org/W2374664672","https://openalex.org/W4367555392","https://openalex.org/W2348795485","https://openalex.org/W2367940508"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,40,44],"novel":[4],"and":[5,68,141],"simple":[6],"feature":[7,22,31,51,109],"extraction":[8],"approach":[9,62,99,131],"for":[10,83,135],"drawing":[11],"out":[12],"the":[13,21,30,58,65,72,84,92,106,113,119,126,136,145],"signal":[14,120],"characteristics":[15,74,114],"of":[16,39,46,50,108,115,118,121,128,138],"uncertain":[17],"dynamic":[18],"processes":[19],"by":[20,75],"neurons.":[23],"Kohonen":[24],"network":[25],"is":[26,80],"used":[27,103],"to":[28,33,104,111],"construct":[29],"neurons":[32,52,110],"represent":[34],"its":[35],"respective":[36],"local":[37],"features":[38],"waveform":[41,47],"signal.":[42],"For":[43,91],"class":[45],"signals,":[48],"groups":[49],"can":[53,63,100,132],"be":[54,101,133],"obtained.":[55],"Incorporating":[56],"with":[57,86,94],"ellipsoidal":[59],"calculus,":[60],"this":[61,98,130],"extract":[64],"process":[66,73,85,88],"drifts":[67],"abnormal":[69],"deviations":[70],"in":[71,123,144],"limit":[76],"checking.":[77],"Moreover,":[78],"it":[79],"robust":[81],"even":[82],"different":[87],"time":[89],"durations.":[90],"system":[93],"oscillatory":[95],"transient":[96],"response,":[97],"iteratively":[102],"augment":[105],"amount":[107],"analyze":[112],"any":[116],"portion":[117],"interest":[122],"detail.":[124],"With":[125],"merit":[127],"unsophisticatedness,":[129],"implemented":[134],"determination":[137],"preventive":[139],"maintenance":[140],"fault":[142],"detection":[143],"semiconductor":[146],"manufacturing.":[147]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}