{"id":"https://openalex.org/W4386323851","doi":"https://doi.org/10.1109/isie51358.2023.10228157","title":"Comparative Study of Excitation Signals for Active Fault Diagnosis of Belt Drives","display_name":"Comparative Study of Excitation Signals for Active Fault Diagnosis of Belt Drives","publication_year":2023,"publication_date":"2023-06-19","ids":{"openalex":"https://openalex.org/W4386323851","doi":"https://doi.org/10.1109/isie51358.2023.10228157"},"language":"en","primary_location":{"id":"doi:10.1109/isie51358.2023.10228157","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isie51358.2023.10228157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE)","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/A5041750150","display_name":"Moritz Fehsenfeld","orcid":"https://orcid.org/0000-0003-2639-7838"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Moritz Fehsenfeld","raw_affiliation_strings":["Leibniz University,Institute of Mechatronic Systems,Hannover,Germany","Institute of Mechatronic Systems, Leibniz University, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Leibniz University,Institute of Mechatronic Systems,Hannover,Germany","institution_ids":["https://openalex.org/I114112103"]},{"raw_affiliation_string":"Institute of Mechatronic Systems, Leibniz University, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111598364","display_name":"Johannes K\u00fchn","orcid":null},"institutions":[{"id":"https://openalex.org/I899777837","display_name":"Sulzer (United Kingdom)","ror":"https://ror.org/01b6ear34","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210106239","https://openalex.org/I899777837"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Johannes K\u00fchn","raw_affiliation_strings":["Lenze SE,Germany","Lenze SE, Germany"],"affiliations":[{"raw_affiliation_string":"Lenze SE,Germany","institution_ids":["https://openalex.org/I899777837"]},{"raw_affiliation_string":"Lenze SE, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030912644","display_name":"Karl-Philipp Kortmann","orcid":"https://orcid.org/0000-0002-0472-3316"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Karl-Philipp Kortmann","raw_affiliation_strings":["Leibniz University,Institute of Mechatronic Systems,Hannover,Germany","Institute of Mechatronic Systems, Leibniz University, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Leibniz University,Institute of Mechatronic Systems,Hannover,Germany","institution_ids":["https://openalex.org/I114112103"]},{"raw_affiliation_string":"Institute of Mechatronic Systems, Leibniz University, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041750150"],"corresponding_institution_ids":["https://openalex.org/I114112103"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12013993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9921000003814697,"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":0.9921000003814697,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.989799976348877,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9505000114440918,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6340864896774292},{"id":"https://openalex.org/keywords/excitation","display_name":"Excitation","score":0.6277384161949158},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5834518671035767},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5432232022285461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5010018348693848},{"id":"https://openalex.org/keywords/active-fault","display_name":"Active fault","score":0.4993171691894531},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4612411856651306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43989279866218567},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4202668368816376},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34844550490379333},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3298146724700928},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.10441365838050842}],"concepts":[{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6340864896774292},{"id":"https://openalex.org/C83581075","wikidata":"https://www.wikidata.org/wiki/Q1361503","display_name":"Excitation","level":2,"score":0.6277384161949158},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5834518671035767},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5432232022285461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5010018348693848},{"id":"https://openalex.org/C26001220","wikidata":"https://www.wikidata.org/wiki/Q1089248","display_name":"Active fault","level":3,"score":0.4993171691894531},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4612411856651306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43989279866218567},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4202668368816376},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34844550490379333},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3298146724700928},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.10441365838050842},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isie51358.2023.10228157","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isie51358.2023.10228157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.550000011920929,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W58346954","https://openalex.org/W1978047020","https://openalex.org/W1989289233","https://openalex.org/W2066779753","https://openalex.org/W2396076036","https://openalex.org/W2419509563","https://openalex.org/W2555077524","https://openalex.org/W2583684303","https://openalex.org/W2802314367","https://openalex.org/W2890142594","https://openalex.org/W2892035503","https://openalex.org/W2896141718","https://openalex.org/W2911964244","https://openalex.org/W2923040451","https://openalex.org/W2935839097","https://openalex.org/W2967988901","https://openalex.org/W2974580236","https://openalex.org/W2980846788","https://openalex.org/W2988244882","https://openalex.org/W3096153045","https://openalex.org/W3112330479","https://openalex.org/W3132045509","https://openalex.org/W3146551586","https://openalex.org/W3154341725","https://openalex.org/W3190461479","https://openalex.org/W4234452799","https://openalex.org/W4285612141","https://openalex.org/W6730050545"],"related_works":["https://openalex.org/W2364310969","https://openalex.org/W2373007135","https://openalex.org/W4205762803","https://openalex.org/W2347471477","https://openalex.org/W2372756463","https://openalex.org/W2390901883","https://openalex.org/W2012074534","https://openalex.org/W4211113703","https://openalex.org/W2383330891","https://openalex.org/W2535856026"],"abstract_inverted_index":{"Toothed":[0],"belts":[1],"are":[2,13,74,88,113,120],"a":[3,104,144],"popular":[4],"drive":[5],"solution":[6],"in":[7,40],"many":[8],"industrial":[9,117,152],"sectors.":[10],"However,":[11],"they":[12],"little":[14],"noticed":[15],"as":[16],"fault":[17,50,71,148],"diagnosis":[18,51,72,149],"(FD)":[19],"applications.":[20],"For":[21,83],"optimal":[22],"operating":[23],"conditions,":[24],"the":[25,53,64,96,127],"belt":[26,46,128],"must":[27],"be":[28],"properly":[29],"tensioned.":[30],"An":[31],"active":[32],"FD":[33,99],"combined":[34],"with":[35],"machine":[36],"learning":[37,103],"is":[38,100],"pursued":[39],"this":[41,84,131],"work":[42,62],"to":[43,126,142],"provide":[44],"reliable":[45],"looseness":[47],"recognition.":[48],"Active":[49],"increases":[52],"performance":[54],"by":[55,102,122],"injecting":[56],"an":[57,91],"additional":[58],"excitation":[59,137],"signal.":[60],"This":[61],"addresses":[63],"two":[65],"crucial":[66],"steps":[67],"of":[68],"active,":[69],"data-driven":[70],"which":[73,119],"(1)":[75],"input":[76],"signal":[77],"design":[78],"and":[79,138,146],"(2)":[80],"algorithm":[81,139],"selection.":[82],"purpose,":[85],"test":[86],"signals":[87],"investigated":[89],"for":[90],"appropriate":[92],"excitation.":[93],"Based":[94],"on":[95,115],"obtained":[97],"data,":[98],"done":[101],"time":[105],"series":[106],"regression":[107],"(TSR)":[108],"model.":[109],"State-of-the-art":[110],"TSR":[111],"algorithms":[112],"benchmarked":[114],"multiple":[116],"datasets":[118],"created":[121],"attaching":[123],"different":[124],"loads":[125],"drive.":[129],"In":[130],"way,":[132],"we":[133],"figure":[134],"out":[135],"how":[136],"selection":[140],"help":[141],"establish":[143],"safe":[145],"robust":[147],"that":[150],"meets":[151],"requirements.":[153]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}