{"id":"https://openalex.org/W600852742","doi":"https://doi.org/10.3233/978-1-61499-330-8-205","title":"Towards a Machine Learning Algorithm for Predicting Truck Compressor Failures Using Logged Vehicle Data","display_name":"Towards a Machine Learning Algorithm for Predicting Truck Compressor Failures Using Logged Vehicle Data","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W600852742","doi":"https://doi.org/10.3233/978-1-61499-330-8-205","mag":"600852742"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-330-8-205","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-330-8-205","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-24249","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Nowaczyk S&lstrok;awomir","orcid":null},"institutions":[{"id":"https://openalex.org/I746986","display_name":"Halmstad University","ror":"https://ror.org/03h0qfp10","country_code":"SE","type":"education","lineage":["https://openalex.org/I746986"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Nowaczyk S&lstrok;awomir","raw_affiliation_strings":["Halmstad University, Halmstad, Sweden"],"affiliations":[{"raw_affiliation_string":"Halmstad University, Halmstad, Sweden","institution_ids":["https://openalex.org/I746986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011021692","display_name":"Rune Prytz","orcid":null},"institutions":[{"id":"https://openalex.org/I1340210623","display_name":"Volvo (Sweden)","ror":"https://ror.org/05b6ypc36","country_code":"SE","type":"company","lineage":["https://openalex.org/I1340210623"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Prytz Rune","raw_affiliation_strings":["Volvo (Sweden), Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Volvo (Sweden), Gothenburg, Sweden","institution_ids":["https://openalex.org/I1340210623"]}]},{"author_position":"middle","author":{"id":null,"display_name":"R&ouml;gnvaldsson Thorsteinn","orcid":null},"institutions":[{"id":"https://openalex.org/I746986","display_name":"Halmstad University","ror":"https://ror.org/03h0qfp10","country_code":"SE","type":"education","lineage":["https://openalex.org/I746986"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"R&ouml;gnvaldsson Thorsteinn","raw_affiliation_strings":["Halmstad University, Halmstad, Sweden"],"affiliations":[{"raw_affiliation_string":"Halmstad University, Halmstad, Sweden","institution_ids":["https://openalex.org/I746986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069409359","display_name":"Stefan Byttner","orcid":"https://orcid.org/0000-0002-0293-040X"},"institutions":[{"id":"https://openalex.org/I746986","display_name":"Halmstad University","ror":"https://ror.org/03h0qfp10","country_code":"SE","type":"education","lineage":["https://openalex.org/I746986"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Byttner Stefan","raw_affiliation_strings":["Halmstad University, Halmstad, Sweden"],"affiliations":[{"raw_affiliation_string":"Halmstad University, Halmstad, Sweden","institution_ids":["https://openalex.org/I746986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I746986"],"apc_list":null,"apc_paid":null,"fwci":1.0433,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.7673507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9564999938011169,"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":0.9564999938011169,"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/T13050","display_name":"Oil and Gas Production Techniques","score":0.9502999782562256,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T14082","display_name":"Modeling, Simulation, and Optimization","score":0.9337000250816345,"subfield":{"id":"https://openalex.org/subfields/2607","display_name":"Discrete Mathematics and Combinatorics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.803377091884613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5470032691955566},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.453507661819458},{"id":"https://openalex.org/keywords/gas-compressor","display_name":"Gas compressor","score":0.44914937019348145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39494138956069946},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3880055248737335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3475029468536377},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.32730138301849365},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.12558439373970032}],"concepts":[{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.803377091884613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5470032691955566},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.453507661819458},{"id":"https://openalex.org/C131097465","wikidata":"https://www.wikidata.org/wiki/Q178898","display_name":"Gas compressor","level":2,"score":0.44914937019348145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39494138956069946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3880055248737335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3475029468536377},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.32730138301849365},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.12558439373970032}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-330-8-205","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-330-8-205","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:DiVA.org:hh-24249","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-24249","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:hh-24249","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-24249","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W8543266","https://openalex.org/W10820646","https://openalex.org/W1508045687","https://openalex.org/W1986240326","https://openalex.org/W2011741724","https://openalex.org/W2015448979","https://openalex.org/W2051480888","https://openalex.org/W2061815108","https://openalex.org/W2067642555","https://openalex.org/W2069441514","https://openalex.org/W2071909685","https://openalex.org/W2120871928","https://openalex.org/W2121906195","https://openalex.org/W2139674086","https://openalex.org/W2153796935","https://openalex.org/W2171182814","https://openalex.org/W2256619777","https://openalex.org/W2520858206","https://openalex.org/W3149838063","https://openalex.org/W4230262743"],"related_works":["https://openalex.org/W1517019597","https://openalex.org/W4404544825","https://openalex.org/W1968776045","https://openalex.org/W2296713838","https://openalex.org/W767149399","https://openalex.org/W3036261569","https://openalex.org/W575062473","https://openalex.org/W2889950528","https://openalex.org/W4245592507","https://openalex.org/W2558800934"],"abstract_inverted_index":{"Predictive":[0],"maintenance":[1,28],"is":[2,23],"becoming":[3],"more":[4,6,55],"and":[5],"important":[7],"for":[8],"the":[9,37,48,58],"commercial":[10],"vehicle":[11],"manufactures,":[12],"as":[13,42,44],"focus":[14],"shifts":[15],"from":[16],"product-":[17],"to":[18,24],"service-based":[19],"operation.":[20],"The":[21],"idea":[22],"provide":[25],"a":[26],"dynamic":[27],"schedule,":[29],"fulfilling":[30],"specific":[31],"needs":[32],"of":[33,40],"individual":[34],"vehicles.":[35],"Luckily,":[36],"same":[38],"shift":[39],"focus,":[41],"well":[43],"technological":[45],"advancements":[46],"in":[47],"telecommunication":[49],"area,":[50],"make":[51],"long-term":[52],"data":[53],"collection":[54],"widespread,":[56],"delivering":[57],"necessary":[59],"data.":[60]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2016-06-24T00:00:00"}
