{"id":"https://openalex.org/W2788508206","doi":"https://doi.org/10.3390/s18020337","title":"New Fault Recognition Method for Rotary Machinery Based on Information Entropy and a Probabilistic Neural Network","display_name":"New Fault Recognition Method for Rotary Machinery Based on Information Entropy and a Probabilistic Neural Network","publication_year":2018,"publication_date":"2018-01-24","ids":{"openalex":"https://openalex.org/W2788508206","doi":"https://doi.org/10.3390/s18020337","mag":"2788508206","pmid":"https://pubmed.ncbi.nlm.nih.gov/29364856"},"language":"en","primary_location":{"id":"doi:10.3390/s18020337","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18020337","pdf_url":"https://www.mdpi.com/1424-8220/18/2/337/pdf?version=1516874095","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/18/2/337/pdf?version=1516874095","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063227132","display_name":"Quan Jiang","orcid":"https://orcid.org/0000-0002-4148-3438"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Quansheng Jiang","raw_affiliation_strings":["School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou 215009, China","Suzhou Key Laboratory of Precision and Efficient Machining Technology, Suzhou 215009, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou 215009, China","institution_ids":["https://openalex.org/I308837"]},{"raw_affiliation_string":"Suzhou Key Laboratory of Precision and Efficient Machining Technology, Suzhou 215009, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047980519","display_name":"Yehu Shen","orcid":"https://orcid.org/0000-0002-8917-719X"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yehu Shen","raw_affiliation_strings":["School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou 215009, China","Suzhou Key Laboratory of Precision and Efficient Machining Technology, Suzhou 215009, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou 215009, China","institution_ids":["https://openalex.org/I308837"]},{"raw_affiliation_string":"Suzhou Key Laboratory of Precision and Efficient Machining Technology, Suzhou 215009, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731472","display_name":"Hua Li","orcid":"https://orcid.org/0000-0002-9895-689X"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Li","raw_affiliation_strings":["School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou 215009, China","Suzhou Key Laboratory of Precision and Efficient Machining Technology, Suzhou 215009, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou 215009, China","institution_ids":["https://openalex.org/I308837"]},{"raw_affiliation_string":"Suzhou Key Laboratory of Precision and Efficient Machining Technology, Suzhou 215009, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100746421","display_name":"Fengyu Xu","orcid":"https://orcid.org/0000-0002-1889-0318"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyu Xu","raw_affiliation_strings":["College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063227132"],"corresponding_institution_ids":["https://openalex.org/I308837"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":5.4302,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.96160634,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"18","issue":"2","first_page":"337","last_page":"337"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9983999729156494,"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":0.9983999729156494,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.9824000000953674,"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/entropy","display_name":"Entropy (arrow of time)","score":0.6841597557067871},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6302676200866699},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.5934353470802307},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5776152014732361},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5683104991912842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5351909399032593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4711148738861084},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.46450942754745483},{"id":"https://openalex.org/keywords/approximate-entropy","display_name":"Approximate entropy","score":0.4316113293170929},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.41407260298728943},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36042505502700806}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6841597557067871},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6302676200866699},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.5934353470802307},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5776152014732361},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5683104991912842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5351909399032593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4711148738861084},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.46450942754745483},{"id":"https://openalex.org/C86859247","wikidata":"https://www.wikidata.org/wiki/Q4781760","display_name":"Approximate entropy","level":3,"score":0.4316113293170929},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.41407260298728943},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36042505502700806},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":5,"locations":[{"id":"doi:10.3390/s18020337","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18020337","pdf_url":"https://www.mdpi.com/1424-8220/18/2/337/pdf?version=1516874095","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:29364856","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29364856","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:d2bd1251da1d409a95ddd226c7950ddf","is_oa":true,"landing_page_url":"https://doaj.org/article/d2bd1251da1d409a95ddd226c7950ddf","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 18, Iss 2, p 337 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/18/2/337/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s18020337","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 18; Issue 2; Pages: 337","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5855057","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5855057","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s18020337","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18020337","pdf_url":"https://www.mdpi.com/1424-8220/18/2/337/pdf?version=1516874095","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1878120213","display_name":null,"funder_award_id":"61501451","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3515024440","display_name":null,"funder_award_id":"51775284","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3910829908","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8332077513","display_name":null,"funder_award_id":"2015119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2788508206.pdf","grobid_xml":"https://content.openalex.org/works/W2788508206.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W427289305","https://openalex.org/W1438045566","https://openalex.org/W1497462675","https://openalex.org/W1878305606","https://openalex.org/W1909050084","https://openalex.org/W1971219721","https://openalex.org/W1971623470","https://openalex.org/W1974314515","https://openalex.org/W1979117586","https://openalex.org/W2006392326","https://openalex.org/W2011175173","https://openalex.org/W2012193335","https://openalex.org/W2021941511","https://openalex.org/W2034652182","https://openalex.org/W2056788985","https://openalex.org/W2062658440","https://openalex.org/W2074413628","https://openalex.org/W2077204677","https://openalex.org/W2085140887","https://openalex.org/W2086315826","https://openalex.org/W2092740412","https://openalex.org/W2350508076","https://openalex.org/W2364410813","https://openalex.org/W2364684898","https://openalex.org/W2499976040","https://openalex.org/W2562639359","https://openalex.org/W2584994008","https://openalex.org/W2585416310","https://openalex.org/W2589171657","https://openalex.org/W2602857930","https://openalex.org/W2728741793","https://openalex.org/W3121258721","https://openalex.org/W3198267842","https://openalex.org/W6629645388","https://openalex.org/W6653157475","https://openalex.org/W6980005026","https://openalex.org/W7052494436"],"related_works":["https://openalex.org/W4306685995","https://openalex.org/W2588158334","https://openalex.org/W2354246989","https://openalex.org/W2349889839","https://openalex.org/W2890995276","https://openalex.org/W2187680012","https://openalex.org/W2906401210","https://openalex.org/W4387168496","https://openalex.org/W3048534601","https://openalex.org/W2376346938"],"abstract_inverted_index":{"Feature":[0],"recognition":[1,163],"and":[2,12,41,75,87,102],"fault":[3,90,108,115,130,162],"diagnosis":[4],"plays":[5],"an":[6,160],"important":[7],"role":[8],"in":[9,47,65],"equipment":[10],"safety":[11],"stable":[13],"operation":[14],"of":[15,26,30,62,120,133,149],"rotating":[16,31,166],"machinery.":[17,167],"In":[18,124],"order":[19],"to":[20,58,85,106,158],"cope":[21],"with":[22,143],"the":[23,27,79,89,107,129,134,144],"complexity":[24],"problem":[25],"vibration":[28,66],"signal":[29],"machinery,":[32],"a":[33],"feature":[34,80],"fusion":[35,81],"model":[36,82],"based":[37],"on":[38,113],"information":[39,55,98,150],"entropy":[40,56,64,151],"probabilistic":[42],"neural":[43],"network":[44],"is":[45,83,103,137,156],"proposed":[46,93,122],"this":[48],"paper.":[49],"The":[50,92,110,153],"new":[51,135,154],"method":[52,136,164],"first":[53],"uses":[54],"theory":[57],"extract":[59],"three":[60,147],"kinds":[61,148],"characteristics":[63],"signals,":[67],"namely,":[68],"singular":[69],"spectrum":[70,73],"entropy,":[71,74],"power":[72],"approximate":[76],"entropy.":[77],"Then":[78],"constructed":[84],"classify":[86],"diagnose":[88],"signals.":[91],"approach":[94,155],"can":[95],"combine":[96],"comprehensive":[97],"from":[99],"different":[100],"aspects":[101],"more":[104,138],"sensitive":[105],"features.":[109],"experimental":[111],"results":[112],"simulated":[114],"signals":[116],"verified":[117],"better":[118],"performances":[119],"our":[121],"approach.":[123],"real":[125],"two-span":[126],"rotor":[127],"data,":[128],"detection":[131],"accuracy":[132],"than":[139],"10%":[140],"higher":[141],"compared":[142],"methods":[145],"using":[146],"separately.":[152],"proved":[157],"be":[159],"effective":[161],"for":[165]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}