{"id":"https://openalex.org/W7135024334","doi":"https://doi.org/10.1109/icsrs68021.2025.11422055","title":"Anomaly Detection in Power Inverters of Electromechanical Actuators based on Convolutional Neural Network and Long Short-Term Memory Cells","display_name":"Anomaly Detection in Power Inverters of Electromechanical Actuators based on Convolutional Neural Network and Long Short-Term Memory Cells","publication_year":2025,"publication_date":"2025-11-26","ids":{"openalex":"https://openalex.org/W7135024334","doi":"https://doi.org/10.1109/icsrs68021.2025.11422055"},"language":null,"primary_location":{"id":"doi:10.1109/icsrs68021.2025.11422055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs68021.2025.11422055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on System Reliability and Safety (ICSRS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5079268462","display_name":"Chenyang Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chenyang Lai","raw_affiliation_strings":["Politecnico di Milano,Energy Department,Milano,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Energy Department,Milano,Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107871496","display_name":"P. Baraldi","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Piero Baraldi","raw_affiliation_strings":["Politecnico di Milano,Energy Department,Milano,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Energy Department,Milano,Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128812763","display_name":"Aruna","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Aruna","raw_affiliation_strings":["Politecnico di Milano,Energy Department,Milano,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Energy Department,Milano,Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059187936","display_name":"Leonardo Baldo","orcid":"https://orcid.org/0000-0001-5073-4166"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Leonardo Baldo","raw_affiliation_strings":["Politecnico di Torino,Department of Mechanical and Aerospace Engineering,Torino,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Department of Mechanical and Aerospace Engineering,Torino,Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003045978","display_name":"Matteo Davide Lorenzo Dalla Vedova","orcid":"https://orcid.org/0000-0002-3124-2198"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Davide Lorenzo Dalla Vedova","raw_affiliation_strings":["Politecnico di Torino,Department of Mechanical and Aerospace Engineering,Torino,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Department of Mechanical and Aerospace Engineering,Torino,Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018917869","display_name":"Gaetano Quattrocchi","orcid":"https://orcid.org/0000-0002-6168-865X"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gaetano Quattrocchi","raw_affiliation_strings":["Politecnico di Torino,Department of Mechanical and Aerospace Engineering,Torino,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Department of Mechanical and Aerospace Engineering,Torino,Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128804463","display_name":"Enrico Zio","orcid":null},"institutions":[{"id":"https://openalex.org/I70768539","display_name":"\u00c9cole Nationale Sup\u00e9rieure des Mines de Paris","ror":"https://ror.org/04y8cs423","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Enrico Zio","raw_affiliation_strings":["MINES Paris-PSL CRC Sophia,Antipolis,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MINES Paris-PSL CRC Sophia,Antipolis,France","institution_ids":["https://openalex.org/I70768539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"526","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.5529000163078308,"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":0.5529000163078308,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.1559000015258789,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.12080000340938568,"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/actuator","display_name":"Actuator","score":0.6685000061988831},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6122000217437744},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5701000094413757},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5428000092506409},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.491100013256073},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4634999930858612},{"id":"https://openalex.org/keywords/inverter","display_name":"Inverter","score":0.4122999906539917},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4009000062942505}],"concepts":[{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.6685000061988831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.617900013923645},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6122000217437744},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5701000094413757},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5428000092506409},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.491100013256073},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4634999930858612},{"id":"https://openalex.org/C11190779","wikidata":"https://www.wikidata.org/wiki/Q664575","display_name":"Inverter","level":3,"score":0.4122999906539917},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.398499995470047},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.3905999958515167},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.38609999418258667},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.38600000739097595},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.37400001287460327},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3675999939441681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35260000824928284},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3418000042438507},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30149999260902405},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.3000999987125397},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.2833999991416931},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26989999413490295},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsrs68021.2025.11422055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs68021.2025.11422055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on System Reliability and Safety (ICSRS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2318977435","https://openalex.org/W2531437605","https://openalex.org/W2532210057","https://openalex.org/W2803142415","https://openalex.org/W2824125274","https://openalex.org/W2962949934","https://openalex.org/W2970789818","https://openalex.org/W2996099396","https://openalex.org/W3135018109","https://openalex.org/W4283367104","https://openalex.org/W4400101180"],"related_works":[],"abstract_inverted_index":{"In":[0],"new":[1],"generation":[2],"aircraft,":[3],"traditional":[4],"hydromechanical":[5],"and":[6,34,85,103,135,162],"electrohydraulic":[7],"actuators":[8],"of":[9,22,31,55,70,80,114,117,126,130,148,165],"flight":[10],"control":[11],"systems":[12],"are":[13,49],"replaced":[14],"by":[15,158],"Electro-Mechanical":[16],"Actuators":[17],"(EMAs).":[18],"Ensuring":[19],"the":[20,28,51,68,71,81,112,118,123,127,143,149,163,166],"functionality":[21],"an":[23,41],"EMA":[24],"requires":[25],"to":[26,66],"monitor":[27],"health":[29,120],"state":[30,121],"its":[32],"components":[33,54],"promptly":[35],"detect":[36],"anomalies.":[37],"This":[38],"work":[39],"develops":[40],"anomaly":[42,91,153],"detection":[43,154],"method":[44,155],"for":[45],"power":[46],"inverters,":[47],"which":[48],"among":[50],"most":[52],"critical":[53],"EMAs.":[56],"It":[57],"is":[58,88,156],"based":[59],"on":[60],"a":[61,98],"signal":[62,72,94],"reconstruction":[63,95],"model":[64,96],"trained":[65],"reproduce":[67],"values":[69],"expected":[73],"under":[74],"normal":[75],"conditions.":[76],"The":[77,93,109,138,152],"cumulative":[78],"Z-Score":[79],"residuals":[82],"between":[83],"reconstructed":[84],"measured":[86,128],"signals":[87,129],"used":[89],"as":[90],"indicator.":[92],"combines":[97],"Convolutional":[99],"Neural":[100],"Network":[101],"(CNN)":[102],"Long":[104],"Short-Term":[105],"Memory":[106],"(LSTM)":[107],"cells.":[108],"CNN":[110],"enables":[111],"extraction":[113],"features":[115],"representative":[116],"system":[119],"from":[122],"multidimensional":[124],"time-series":[125],"voltage,":[131],"motor":[132,136],"angular":[133],"speed":[134],"position.":[137],"LSTM":[139],"cells":[140],"allows":[141],"capturing":[142],"complex,":[144],"non-linear":[145],"temporal":[146],"dynamics":[147],"extracted":[150],"features.":[151],"validated":[157],"considering":[159],"sensor":[160],"faults":[161],"degradation":[164],"inverter":[167],"Metal-Oxide-Semiconductor":[168],"FieldEffect":[169],"Transistor":[170],"(MOSFET).":[171]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-13T00:00:00"}
