{"id":"https://openalex.org/W2128761466","doi":"https://doi.org/10.1109/cisp.2009.5303652","title":"Adaptive Chirplet Decomposition Method and Its Application in Machine Fault Diagnosis","display_name":"Adaptive Chirplet Decomposition Method and Its Application in Machine Fault Diagnosis","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2128761466","doi":"https://doi.org/10.1109/cisp.2009.5303652","mag":"2128761466"},"language":"en","primary_location":{"id":"doi:10.1109/cisp.2009.5303652","doi":"https://doi.org/10.1109/cisp.2009.5303652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp.2009.5303652","pdf_url":null,"source":{"id":"https://openalex.org/S4363605216","display_name":"International Congress on Image and Signal Processing (CISP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 2nd International Congress on Image and Signal Processing","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5101562420","display_name":"Shengchun Wang","orcid":"https://orcid.org/0000-0002-7386-581X","observed_orcids":["https://orcid.org/0000-0002-7386-581X"]},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengchun Wang","raw_affiliation_strings":["School of Mechanical Engineering, Shandong Jianzhu University, Jinan, Shandong, China","Sch. of Mech. Eng., Shandong Jianzhu Univ., Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shandong Jianzhu University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"Sch. of Mech. Eng., Shandong Jianzhu Univ., Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111907048","display_name":"Song Shijun","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijun Song","raw_affiliation_strings":["School of Mechanical Engineering, Shandong Jianzhu University, Jinan, Shandong, China","Sch. of Mech. Eng., Shandong Jianzhu Univ., Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shandong Jianzhu University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"Sch. of Mech. Eng., Shandong Jianzhu Univ., Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063674865","display_name":"Tonghong Jin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tonghong Jin","raw_affiliation_strings":["School of Mechanical Engineering, Shandong Jianzhu University, Jinan, Shandong, China","Sch. of Mech. Eng., Shandong Jianzhu Univ., Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shandong Jianzhu University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"Sch. of Mech. Eng., Shandong Jianzhu Univ., Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067044247","display_name":"Xiaowei Wang","orcid":"https://orcid.org/0000-0002-8957-9092","observed_orcids":["https://orcid.org/0000-0002-8957-9092"]},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Wang","raw_affiliation_strings":["School of Mechanical Engineering, Shandong Jianzhu University, Jinan, Shandong, China","Sch. of Mech. Eng., Shandong Jianzhu Univ., Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shandong Jianzhu University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"Sch. of Mech. Eng., Shandong Jianzhu Univ., Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44445938"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","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/T10220","display_name":"Machine Fault Diagnosis Techniques","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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"fractional Fourier transform","score":0.9980000257492065},{"id":"https://openalex.org/keywords/time-frequency-resolution","display_name":"time-frequency resolution","score":0.7620000243186951},{"id":"https://openalex.org/keywords/vibration-signal-denoising","display_name":"vibration signal denoising","score":0.8109999895095825},{"id":"https://openalex.org/keywords/bearing-fault-diagnosis","display_name":"bearing fault diagnosis","score":0.9390000104904175},{"id":"https://openalex.org/keywords/signal-feature-extraction","display_name":"signal feature extraction","score":0.8849999904632568}],"concepts":[{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.6421656012535095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6213432550430298},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.590143620967865},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5784116387367249},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5377054810523987},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.530978262424469},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5306752324104309},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4690818190574646},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4529239237308502},{"id":"https://openalex.org/C2778258933","wikidata":"https://www.wikidata.org/wiki/Q16918986","display_name":"Decomposition method (queueing theory)","level":2,"score":0.44969800114631653},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44481509923934937},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.41403859853744507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4139305353164673},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.26361513137817383},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.24431845545768738},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23547938466072083},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1797025501728058},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0765119194984436},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp.2009.5303652","doi":"https://doi.org/10.1109/cisp.2009.5303652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp.2009.5303652","pdf_url":null,"source":{"id":"https://openalex.org/S4363605216","display_name":"International Congress on Image and Signal Processing (CISP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 2nd International Congress on Image and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310281","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2015322125","https://openalex.org/W2080563952","https://openalex.org/W2103677028","https://openalex.org/W2116983948","https://openalex.org/W2120513005","https://openalex.org/W2134283197","https://openalex.org/W2151693816","https://openalex.org/W2293669764"],"related_works":["https://openalex.org/W2355410932","https://openalex.org/W2107013437","https://openalex.org/W4403584428","https://openalex.org/W2147876492","https://openalex.org/W2391768217","https://openalex.org/W3201787852","https://openalex.org/W2375259047","https://openalex.org/W2766124620","https://openalex.org/W3091698330","https://openalex.org/W7134840693"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2],"new":[3],"approach":[4,21],"based":[5],"upon":[6],"the":[7,13,36,39,47,63,82,88,94,97,101],"adaptive":[8],"chirplet":[9],"decomposition":[10,25],"to":[11,34,45,87],"characterize":[12],"time-dependent":[14],"behavior":[15],"of":[16,91,96],"machine":[17],"vibration":[18],"signals.":[19],"This":[20],"employs":[22],"maximum":[23],"projective":[24],"algorithm":[26,42],"combined":[27],"fractional":[28],"Fourier":[29,58],"transform":[30],"with":[31,50],"quasi-Newton":[32],"method":[33,69,84,103],"estimate":[35],"parameters.":[37],"Then,":[38],"expectation":[40],"maximization":[41],"is":[43,85,104],"used":[44],"refine":[46],"results.":[48],"Compared":[49],"traditional":[51],"time-frequency":[52,76],"analysis":[53],"methods,":[54],"such":[55],"as":[56],"short-time":[57],"spectrum":[59],"and":[60,78,93],"Wigner":[61],"distribution,":[62],"simulation":[64],"results":[65,95],"show":[66],"that":[67,100],"this":[68],"can":[70],"obtain":[71],"more":[72],"accurate":[73],"estimation,":[74],"finer":[75],"resolution":[77],"de-noising":[79],"capability.":[80],"Finally,":[81],"proposed":[83,102],"applied":[86],"fault":[89],"diagnosis":[90],"bearing,":[92],"experiment":[98],"demonstrate":[99],"efficient":[105],"in":[106],"signal":[107],"feature":[108],"extraction.":[109]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2016-06-24T00:00:00"}