{"id":"https://openalex.org/W7118598818","doi":"https://doi.org/10.1109/indin64977.2025.11279173","title":"Anomaly Detection of Marine Engines using Graph Network AutoEncoder with Multi-scale Feature Fusion","display_name":"Anomaly Detection of Marine Engines using Graph Network AutoEncoder with Multi-scale Feature Fusion","publication_year":2025,"publication_date":"2025-07-12","ids":{"openalex":"https://openalex.org/W7118598818","doi":"https://doi.org/10.1109/indin64977.2025.11279173"},"language":null,"primary_location":{"id":"doi:10.1109/indin64977.2025.11279173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 23rd International Conference on Industrial Informatics (INDIN)","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/A5053361220","display_name":"Tong Ge","orcid":"https://orcid.org/0000-0002-6758-9652"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tong Ge","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Artificial Intelligence,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Artificial Intelligence,China","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122075167","display_name":"Siheng Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113896","display_name":"Qingdao National Laboratory for Marine Science and Technology","ror":"https://ror.org/026sv7t11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210113896"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siheng Zhao","raw_affiliation_strings":["National Key Laboratory of Marine Engine Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Marine Engine Science and Technology,China","institution_ids":["https://openalex.org/I4210113896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100587782","display_name":"Shifei Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131882","display_name":"Marine Design & Research Institute of China","ror":"https://ror.org/03ka66t46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210131882"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shifei Ma","raw_affiliation_strings":["Shanghai Marine Diesel Engine Research Institute,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Marine Diesel Engine Research Institute,China","institution_ids":["https://openalex.org/I4210131882"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728390","display_name":"Ruonan Liu","orcid":"https://orcid.org/0000-0001-9963-7092"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruonan Liu","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation,China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053361220"],"corresponding_institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210100255"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.82377257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.48350000381469727,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.48350000381469727,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.295199990272522,"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/T11622","display_name":"Maritime Navigation and Safety","score":0.03440000116825104,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7821999788284302},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7235000133514404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5619000196456909},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5336999893188477},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5253000259399414},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.519599974155426},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4049000144004822},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3617999851703644}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7821999788284302},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7235000133514404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6335999965667725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5698000192642212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5619000196456909},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5336999893188477},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5253000259399414},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.519599974155426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4260999858379364},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4049000144004822},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3458000123500824},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.27219998836517334},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25839999318122864}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin64977.2025.11279173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 23rd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8411117196083069,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321030","display_name":"VINNOVA","ror":"https://ror.org/01kd5m353"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2920946673","https://openalex.org/W4308080050","https://openalex.org/W4386332769","https://openalex.org/W4398146909","https://openalex.org/W4398551919","https://openalex.org/W4406000854","https://openalex.org/W4406073112","https://openalex.org/W4415795917"],"related_works":[],"abstract_inverted_index":{"Engine":[0],"anomaly":[1,33],"detection":[2,34],"is":[3],"crucial":[4],"in":[5,55],"the":[6,13,62,70,78,82,86],"marine":[7,38],"systems":[8],"sector":[9],"as":[10],"it":[11],"enables":[12],"timely":[14],"identification":[15],"of":[16],"potential":[17],"faults,":[18],"prevents":[19],"major":[20],"accidents,":[21],"and":[22,89],"ensures":[23],"navigational":[24],"safety.":[25],"In":[26],"this":[27],"paper,":[28],"we":[29],"propose":[30],"an":[31],"unsupervised":[32],"method":[35,50],"to":[36],"detect":[37],"engines":[39],"using":[40],"a":[41],"graph":[42],"network":[43],"autoencoder":[44],"with":[45,72,81],"multi-scale":[46],"feature":[47],"fusion.":[48],"This":[49],"efficiently":[51],"identifies":[52],"temporal":[53],"relationships":[54],"typical":[56],"time":[57],"series":[58],"data,":[59,84,88],"thus":[60],"removing":[61],"requirement":[63],"for":[64,75],"labeled":[65],"failure":[66],"data.":[67],"We":[68],"selected":[69],"data":[71,80],"obvious":[73],"anomalies":[74],"testing,":[76],"compared":[77],"original":[79],"reconstructed":[83],"marked":[85],"abnormal":[87],"achieved":[90],"good":[91],"results.":[92]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-08T00:00:00"}