{"id":"https://openalex.org/W2101585088","doi":"https://doi.org/10.1109/acc.2008.4587168","title":"Trend detection and data mining via wavelet and Hilbert-Huang transforms","display_name":"Trend detection and data mining via wavelet and Hilbert-Huang transforms","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2101585088","doi":"https://doi.org/10.1109/acc.2008.4587168","mag":"2101585088"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2008.4587168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2008.4587168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 American Control Conference","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/A5111973621","display_name":"Murat Yasar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Murat Yasar","raw_affiliation_strings":["Techno-Sciences, Inc., Beltsville, MD, USA","Techno-Sci., Inc., Beltsville, MD"],"affiliations":[{"raw_affiliation_string":"Techno-Sciences, Inc., Beltsville, MD, USA","institution_ids":[]},{"raw_affiliation_string":"Techno-Sci., Inc., Beltsville, MD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003487011","display_name":"Asok Ray","orcid":"https://orcid.org/0000-0003-4124-0230"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Asok Ray","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, USA","Pennsylvania State Univ., University Park 16802, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Pennsylvania State Univ., University Park 16802, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111973621"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3733,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61951317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4292","last_page":"4297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10320","display_name":"Neural Networks and Applications","score":0.992900013923645,"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":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6365301012992859},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.62978196144104},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5631182193756104},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5536817908287048},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5121660232543945},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.4580397307872772},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.4504958391189575},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44118624925613403},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.43431228399276733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4296574592590332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42190277576446533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1944083869457245},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.1514643430709839}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6365301012992859},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.62978196144104},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5631182193756104},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5536817908287048},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5121660232543945},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.4580397307872772},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.4504958391189575},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44118624925613403},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.43431228399276733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4296574592590332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42190277576446533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1944083869457245},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.1514643430709839},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2008.4587168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2008.4587168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 American Control Conference","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":24,"referenced_works":["https://openalex.org/W397076878","https://openalex.org/W1558542711","https://openalex.org/W1565611252","https://openalex.org/W1592150402","https://openalex.org/W1598517949","https://openalex.org/W2002089154","https://openalex.org/W2007221293","https://openalex.org/W2021722152","https://openalex.org/W2066980082","https://openalex.org/W2068844879","https://openalex.org/W2098703540","https://openalex.org/W2146392664","https://openalex.org/W2162976267","https://openalex.org/W2169739344","https://openalex.org/W2409986760","https://openalex.org/W2498464397","https://openalex.org/W3124661333","https://openalex.org/W4205545340","https://openalex.org/W4206252072","https://openalex.org/W4210509282","https://openalex.org/W4232380507","https://openalex.org/W4252103803","https://openalex.org/W4302311470","https://openalex.org/W4302339081"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2363056446","https://openalex.org/W2081563414","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2380939102","https://openalex.org/W154554909","https://openalex.org/W2072581623","https://openalex.org/W1997852824","https://openalex.org/W2077021924"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,32,35,64,71,80],"formulation":[4],"and":[5,20,24,50,54,67,87,96,101],"evaluation":[6],"of":[7,10,17,34,44,63,70,82],"effective":[8],"algorithms":[9],"reliable":[11],"data":[12,22,39,65,103],"analysis":[13],"for":[14,38],"real-time":[15],"monitoring":[16],"incipient":[18],"faults":[19],"anomalies,":[21],"fusion":[23],"event":[25],"classification.":[26],"The":[27],"objective":[28],"is":[29],"to":[30,47,74,92,99],"alleviate":[31],"shortcomings":[33],"existing":[36],"techniques":[37,81],"mining":[40,104],"by":[41],"taking":[42],"advantage":[43],"nonlinear":[45],"filtering":[46],"handle":[48],"non-Gaussian":[49],"non-stationary":[51],"multiplicative":[52],"noise":[53],"uncertainties.":[55],"New":[56],"concepts":[57],"have":[58],"been":[59],"developed":[60],"toward":[61],"characterization":[62],"features":[66],"behavior":[68],"interpretation":[69],"underlying":[72],"processes":[73],"evaluate":[75],"their":[76,94],"performance.":[77],"In":[78],"particular,":[79],"wavelet":[83],"transform,":[84,86],"Hilbert-Huang":[85],"symbolic":[88],"encoding":[89],"are":[90],"investigated":[91],"explore":[93],"effectiveness":[95],"relative":[97],"simplicity":[98],"interpret":[100],"implement":[102],"tasks.":[105]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}