{"id":"https://openalex.org/W4382201047","doi":"https://doi.org/10.1145/3589883.3589885","title":"Self-Monitoring of External Magnetic Interference in Magnetostrictive Position Sensors Using Machine Learning","display_name":"Self-Monitoring of External Magnetic Interference in Magnetostrictive Position Sensors Using Machine Learning","publication_year":2023,"publication_date":"2023-03-10","ids":{"openalex":"https://openalex.org/W4382201047","doi":"https://doi.org/10.1145/3589883.3589885"},"language":"en","primary_location":{"id":"doi:10.1145/3589883.3589885","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589883.3589885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Machine Learning Technologies","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/A5068349526","display_name":"Aimal Khan","orcid":"https://orcid.org/0000-0001-7895-5251"},"institutions":[{"id":"https://openalex.org/I27469343","display_name":"Pforzheim University of Applied Sciences","ror":"https://ror.org/00qakfc35","country_code":"DE","type":"education","lineage":["https://openalex.org/I27469343"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Aimal Khan","raw_affiliation_strings":["Institut f\u00fcr Smart Systems und Services, Pforzheim University, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7895-5251","affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Smart Systems und Services, Pforzheim University, Germany","institution_ids":["https://openalex.org/I27469343"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103225472","display_name":"Tobias K\u00f6nig","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tobias K\u00f6nig","raw_affiliation_strings":["Research, Balluff GmbH, Germany"],"raw_orcid":"https://orcid.org/0009-0005-6467-8253","affiliations":[{"raw_affiliation_string":"Research, Balluff GmbH, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068028263","display_name":"Florian Liebgott","orcid":"https://orcid.org/0000-0002-7941-100X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Florian Liebgott","raw_affiliation_strings":["Research, Balluff GmbH, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7941-100X","affiliations":[{"raw_affiliation_string":"Research, Balluff GmbH, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041204950","display_name":"Thomas Greiner","orcid":"https://orcid.org/0000-0001-6202-3345"},"institutions":[{"id":"https://openalex.org/I27469343","display_name":"Pforzheim University of Applied Sciences","ror":"https://ror.org/00qakfc35","country_code":"DE","type":"education","lineage":["https://openalex.org/I27469343"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Greiner","raw_affiliation_strings":["Institut f\u00fcr Smart Systems und Services, Pforzheim University, Germany"],"raw_orcid":"https://orcid.org/0000-0001-6202-3345","affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Smart Systems und Services, Pforzheim University, Germany","institution_ids":["https://openalex.org/I27469343"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4824,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58337771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9948999881744385,"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"}},"topics":[{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9948999881744385,"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"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9926000237464905,"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/T10320","display_name":"Neural Networks and Applications","score":0.9923999905586243,"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/emi","display_name":"EMI","score":0.8649595975875854},{"id":"https://openalex.org/keywords/electromagnetic-interference","display_name":"Electromagnetic interference","score":0.8333646059036255},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.7305711507797241},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5746565461158752},{"id":"https://openalex.org/keywords/position-sensor","display_name":"Position sensor","score":0.5345249772071838},{"id":"https://openalex.org/keywords/electronics","display_name":"Electronics","score":0.5239589214324951},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.502535343170166},{"id":"https://openalex.org/keywords/magnetostriction","display_name":"Magnetostriction","score":0.502145528793335},{"id":"https://openalex.org/keywords/proximity-sensor","display_name":"Proximity sensor","score":0.49357616901397705},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.4144808053970337},{"id":"https://openalex.org/keywords/magnetic-field","display_name":"Magnetic field","score":0.3986814618110657},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.37559106945991516},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.32880550622940063},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.29321807622909546},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14465099573135376},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14302396774291992}],"concepts":[{"id":"https://openalex.org/C43461449","wikidata":"https://www.wikidata.org/wiki/Q2495531","display_name":"EMI","level":3,"score":0.8649595975875854},{"id":"https://openalex.org/C184892835","wikidata":"https://www.wikidata.org/wiki/Q1474513","display_name":"Electromagnetic interference","level":2,"score":0.8333646059036255},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.7305711507797241},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5746565461158752},{"id":"https://openalex.org/C29258643","wikidata":"https://www.wikidata.org/wiki/Q2937669","display_name":"Position sensor","level":3,"score":0.5345249772071838},{"id":"https://openalex.org/C138331895","wikidata":"https://www.wikidata.org/wiki/Q11650","display_name":"Electronics","level":2,"score":0.5239589214324951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.502535343170166},{"id":"https://openalex.org/C72852350","wikidata":"https://www.wikidata.org/wiki/Q840970","display_name":"Magnetostriction","level":3,"score":0.502145528793335},{"id":"https://openalex.org/C135403697","wikidata":"https://www.wikidata.org/wiki/Q796765","display_name":"Proximity sensor","level":2,"score":0.49357616901397705},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.4144808053970337},{"id":"https://openalex.org/C115260700","wikidata":"https://www.wikidata.org/wiki/Q11408","display_name":"Magnetic field","level":2,"score":0.3986814618110657},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.37559106945991516},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.32880550622940063},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29321807622909546},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14465099573135376},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14302396774291992},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C17281054","wikidata":"https://www.wikidata.org/wiki/Q193466","display_name":"Rotor (electric)","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589883.3589885","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589883.3589885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Machine Learning Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309895","display_name":"Carl-Zeiss-Stiftung","ror":"https://ror.org/03ng4kg22"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W329699872","https://openalex.org/W1995067649","https://openalex.org/W2048817791","https://openalex.org/W2057964370","https://openalex.org/W2097245250","https://openalex.org/W2169431096","https://openalex.org/W2169887086","https://openalex.org/W2593501769","https://openalex.org/W2765757473","https://openalex.org/W2953644261","https://openalex.org/W2981386789","https://openalex.org/W3094345499","https://openalex.org/W3104616090","https://openalex.org/W3167398529","https://openalex.org/W4205930708","https://openalex.org/W4249866491"],"related_works":["https://openalex.org/W76001227","https://openalex.org/W2349537384","https://openalex.org/W1986241886","https://openalex.org/W2041511579","https://openalex.org/W3120066331","https://openalex.org/W2549052135","https://openalex.org/W2018141764","https://openalex.org/W4385545073","https://openalex.org/W2163032211","https://openalex.org/W2947603830"],"abstract_inverted_index":{"The":[0,127],"increasingly":[1],"rich":[2],"and":[3,19,54,60,81,101],"diverse":[4],"applications":[5],"of":[6,68,97,110,129,154,164,170,180],"sensors":[7,31,43,105],"in":[8,13,32,71,174],"industry":[9],"as":[10,12],"well":[11],"commercial":[14],"products":[15],"require":[16],"flexible,":[17],"accurate,":[18],"long-term":[20],"dependable":[21],"integrated":[22],"electronics":[23],"realizations.":[24],"To":[25],"achieve":[26],"this":[27],"goal,":[28],"the":[29,72,86,95,108,124,130,143,162,165],"future":[30],"Industry":[33],"4.0":[34],"should":[35,44,64],"be":[36,45,65,185],"envisaged":[37],"to":[38,49,58,84,135,160],"have":[39],"self-x":[40],"capabilities.":[41],"Generally,":[42],"able":[46],"not":[47],"only":[48],"monitor":[50],"itself":[51],"for":[52,94,114,172],"anomalies":[53,70],"defects":[55],"but":[56],"also":[57],"calibrate":[59],"heal":[61],"itself.":[62],"Sensors":[63,90],"made":[66],"capable":[67],"detecting":[69],"sensing":[73,79],"environment":[74,176],"or":[75],"within":[76,123],"its":[77],"own":[78],"components":[80],"react":[82],"appropriately":[83],"mitigate":[85],"effects.":[87],"Magnetostrictive":[88],"Position":[89],"(MPS)":[91],"are":[92],"used":[93],"purpose":[96],"high":[98],"accuracy":[99,128],"distance":[100],"velocity":[102],"measurement.":[103],"These":[104],"work":[106,149],"on":[107],"basis":[109],"Time-of-Flight":[111],"(ToF)":[112],"calculation":[113],"a":[115,151],"structure-borne":[116,145],"sound":[117,146],"wave":[118],"generated":[119,144],"through":[120],"magnetic":[121],"fields":[122],"sensor":[125],"systems.":[126],"measurement":[131,173],"is":[132,169],"very":[133],"sensitive":[134],"any":[136],"External":[137],"Magnetic":[138],"Interference":[139],"(EMI)":[140],"interacting":[141],"with":[142],"wave.":[147],"This":[148],"suggests":[150],"novel":[152],"approach":[153],"self-monitoring":[155],"which":[156],"applies":[157],"machine":[158],"learning":[159],"classify":[161],"intensity":[163],"EMI.":[166],"Thus,":[167],"it":[168],"significance":[171],"industrial":[175],"where":[177],"multiple":[178],"sources":[179],"external":[181],"electromagnetic":[182],"interference":[183],"can":[184],"present.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
