{"id":"https://openalex.org/W2970445788","doi":"https://doi.org/10.1109/ever.2019.8813630","title":"An Evaluation of Autoencoder and Sparse Filter as Automated Feature Extraction Process for Automotive Damper Defect Diagnosis","display_name":"An Evaluation of Autoencoder and Sparse Filter as Automated Feature Extraction Process for Automotive Damper Defect Diagnosis","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2970445788","doi":"https://doi.org/10.1109/ever.2019.8813630","mag":"2970445788"},"language":"en","primary_location":{"id":"doi:10.1109/ever.2019.8813630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ever.2019.8813630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://mediatum.ub.tum.de/node?id=1534191","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037709967","display_name":"Thomas Zehelein","orcid":"https://orcid.org/0000-0001-6676-9953"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Zehelein","raw_affiliation_strings":["Institute of Automotive Technology, Technical University of Munich, Garching, 85748, Germany","Institute of Automotive Technology, Technical University of Munich, Garching, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automotive Technology, Technical University of Munich, Garching, 85748, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Institute of Automotive Technology, Technical University of Munich, Garching, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084378092","display_name":"Philip Werk","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philip Werk","raw_affiliation_strings":["Institute of Automotive Technology, Technical University of Munich, Garching, 85748, Germany","Institute of Automotive Technology, Technical University of Munich, Garching, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automotive Technology, Technical University of Munich, Garching, 85748, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Institute of Automotive Technology, Technical University of Munich, Garching, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079718896","display_name":"Markus Lienkamp","orcid":"https://orcid.org/0000-0002-9263-5323"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Lienkamp","raw_affiliation_strings":["Institute of Automotive Technology, Technical University of Munich, Garching, 85748, Germany","Institute of Automotive Technology, Technical University of Munich, Garching, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automotive Technology, Technical University of Munich, Garching, 85748, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Institute of Automotive Technology, Technical University of Munich, Garching, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":1.3162,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76655022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/autoencoder","display_name":"Autoencoder","score":0.801073431968689},{"id":"https://openalex.org/keywords/damper","display_name":"Damper","score":0.7131456732749939},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.6238243579864502},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6133275032043457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.599491536617279},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5699931383132935},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5451431274414062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5388438701629639},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.47399842739105225},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4585636854171753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4478696584701538},{"id":"https://openalex.org/keywords/prognostics","display_name":"Prognostics","score":0.44399309158325195},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4202842712402344},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4178427457809448},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.38733699917793274},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3315116763114929},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23047885298728943},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2220470905303955},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.20974397659301758}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.801073431968689},{"id":"https://openalex.org/C140096630","wikidata":"https://www.wikidata.org/wiki/Q3423628","display_name":"Damper","level":2,"score":0.7131456732749939},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.6238243579864502},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6133275032043457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.599491536617279},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5699931383132935},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5451431274414062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5388438701629639},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.47399842739105225},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4585636854171753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4478696584701538},{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.44399309158325195},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4202842712402344},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4178427457809448},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.38733699917793274},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3315116763114929},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23047885298728943},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2220470905303955},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.20974397659301758},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ever.2019.8813630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ever.2019.8813630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","raw_type":"proceedings-article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1534191","is_oa":true,"landing_page_url":"http://mediatum.ub.tum.de/node?id=1534191","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"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":"","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:mediatum.ub.tum.de:node/1534191","is_oa":true,"landing_page_url":"http://mediatum.ub.tum.de/node?id=1534191","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"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":"","raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2003563477","https://openalex.org/W2017257315","https://openalex.org/W2163922914","https://openalex.org/W2219903032","https://openalex.org/W2295125894","https://openalex.org/W2317595875","https://openalex.org/W2480364715","https://openalex.org/W2603304445","https://openalex.org/W2766908377","https://openalex.org/W2783074568","https://openalex.org/W2810292802","https://openalex.org/W2893420424","https://openalex.org/W4244229889"],"related_works":["https://openalex.org/W2310476526","https://openalex.org/W3213192587","https://openalex.org/W2144291498","https://openalex.org/W2535730979","https://openalex.org/W2370073012","https://openalex.org/W4386567722","https://openalex.org/W2168646784","https://openalex.org/W2030958945","https://openalex.org/W2466930957","https://openalex.org/W3182014137"],"abstract_inverted_index":{"With":[0],"reduced":[1],"driver's":[2],"perceptions":[3],"in":[4,52],"regard":[5],"of":[6,8,19,32],"defects":[7],"a":[9],"vehicle's":[10,34,68],"suspension":[11],"system,":[12],"caused":[13],"by":[14],"autonomous":[15],"driving,":[16],"health":[17,70],"monitoring":[18],"automotive":[20],"dampers":[21],"during":[22],"driving":[23],"will":[24],"become":[25],"increasingly":[26],"relevant.":[27],"Using":[28],"only":[29],"sensor":[30,63],"signals":[31],"the":[33,67],"electronic":[35],"stability":[36],"program":[37],"for":[38,77],"this":[39],"task":[40],"is":[41,93],"cost-efficient":[42],"since":[43],"those":[44,90],"sensors":[45],"are":[46],"already":[47],"available.":[48],"Machine":[49],"learning":[50],"algorithms":[51],"conjunction":[53],"with":[54],"actual":[55],"measurement":[56],"data":[57],"can":[58],"be":[59],"used":[60],"to":[61,66,95],"classify":[62],"readings":[64],"according":[65],"damper":[69],"state.":[71],"This":[72],"paper":[73],"evaluates":[74],"two":[75],"methods":[76],"automated":[78],"feature":[79,91,97],"generation,":[80],"namely":[81],"\u201cAutoencoder\u201d":[82],"and":[83],"\u201cSparse":[84],"Filter":[85],"The":[86],"classification":[87],"performance":[88],"using":[89],"sets":[92],"compared":[94],"established":[96],"engineering":[98],"methods.":[99]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}