{"id":"https://openalex.org/W4403390983","doi":"https://doi.org/10.1109/aiars63200.2024.00048","title":"Application of Deep Learning in Anomaly Detection and Prediction in Intelligent Operation and Maintenance of Data Assets","display_name":"Application of Deep Learning in Anomaly Detection and Prediction in Intelligent Operation and Maintenance of Data Assets","publication_year":2024,"publication_date":"2024-07-29","ids":{"openalex":"https://openalex.org/W4403390983","doi":"https://doi.org/10.1109/aiars63200.2024.00048"},"language":"en","primary_location":{"id":"doi:10.1109/aiars63200.2024.00048","doi":"https://doi.org/10.1109/aiars63200.2024.00048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiars63200.2024.00048","pdf_url":null,"source":{"id":"https://openalex.org/S4363608568","display_name":"International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 3rd International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS)","raw_type":"proceedings-article"},"volume":null,"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/A5091599494","display_name":"Taipeng Zhu","orcid":"https://orcid.org/0009-0006-7957-9351","observed_orcids":["https://orcid.org/0009-0006-7957-9351","https://orcid.org/0009-0002-8377-9496"]},"institutions":[{"id":"https://openalex.org/I4405272762","display_name":"Guangdong Power Grid Company (China)","ror":"https://ror.org/04p8atc80","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405272762"]},{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taipeng Zhu","raw_affiliation_strings":["Guangdong Power Grid Company Information Center,Guangzhou,Guangdong,China,510000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Power Grid Company Information Center,Guangzhou,Guangdong,China,510000","institution_ids":["https://openalex.org/I4405272762","https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Min Zhong","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405272762","display_name":"Guangdong Power Grid Company (China)","ror":"https://ror.org/04p8atc80","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405272762"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhong","raw_affiliation_strings":["Guangdong Power Grid Co., Ltd.,Meizhou Power Supply Bureau,Meizhou,Guangdong,China,514000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Power Grid Co., Ltd.,Meizhou Power Supply Bureau,Meizhou,Guangdong,China,514000","institution_ids":["https://openalex.org/I4405272762"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ye Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405272762","display_name":"Guangdong Power Grid Company (China)","ror":"https://ror.org/04p8atc80","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405272762"]},{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Liu","raw_affiliation_strings":["Guangdong Power Grid Company Information Center,Guangzhou,Guangdong,China,510000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Power Grid Company Information Center,Guangzhou,Guangdong,China,510000","institution_ids":["https://openalex.org/I4405272762","https://openalex.org/I74872605"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114043469","display_name":"Yingwei Liang","orcid":"https://orcid.org/0000-0003-3513-3084","observed_orcids":["https://orcid.org/0000-0003-3513-3084"]},"institutions":[{"id":"https://openalex.org/I4405272762","display_name":"Guangdong Power Grid Company (China)","ror":"https://ror.org/04p8atc80","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405272762"]},{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingwei Liang","raw_affiliation_strings":["Guangdong Power Grid Company Information Center,Guangzhou,Guangdong,China,510000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Power Grid Company Information Center,Guangzhou,Guangdong,China,510000","institution_ids":["https://openalex.org/I4405272762","https://openalex.org/I74872605"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2887,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50014168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"232","last_page":"235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.7167999744415283,"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":0.7167999744415283,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.1695999950170517,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.08730000257492065,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/network-anomaly-detection","display_name":"network anomaly detection","score":0.9739999771118164},{"id":"https://openalex.org/keywords/anomaly-prediction","display_name":"anomaly prediction","score":0.9890000224113464},{"id":"https://openalex.org/keywords/intelligent-operation-and-maintenance","display_name":"intelligent operation and maintenance","score":0.9290000200271606},{"id":"https://openalex.org/keywords/data-assets","display_name":"data assets","score":0.9100000262260437},{"id":"https://openalex.org/keywords/lstm-autoencoder","display_name":"LSTM autoencoder","score":0.9309999942779541},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.8790000081062317},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.9470000267028809},{"id":"https://openalex.org/keywords/local-anomaly-detection","display_name":"local anomaly detection","score":0.8149999976158142},{"id":"https://openalex.org/keywords/false-positive-reduction","display_name":"false positive reduction","score":0.781000018119812}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.779250979423523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6500727534294128},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5103055834770203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47984573245048523},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4650273323059082},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3956998288631439},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34189358353614807},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiars63200.2024.00048","doi":"https://doi.org/10.1109/aiars63200.2024.00048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiars63200.2024.00048","pdf_url":null,"source":{"id":"https://openalex.org/S4363608568","display_name":"International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 3rd International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W4200585074","https://openalex.org/W4206796070","https://openalex.org/W4221034530","https://openalex.org/W4283272960","https://openalex.org/W4285019221","https://openalex.org/W4290943464","https://openalex.org/W4292291625","https://openalex.org/W4298086471","https://openalex.org/W4300538707","https://openalex.org/W4319431009","https://openalex.org/W4319778071","https://openalex.org/W4363649394"],"related_works":["https://openalex.org/W4385731138","https://openalex.org/W2945057656","https://openalex.org/W3001200412","https://openalex.org/W4408143823","https://openalex.org/W7164370583","https://openalex.org/W3036798749","https://openalex.org/W2975370684","https://openalex.org/W7064226059","https://openalex.org/W4226340726","https://openalex.org/W4310834710"],"abstract_inverted_index":{"In":[0,33],"the":[1,9,61,81,84,88,91,97,131,140,147],"intelligent":[2,53,119],"operation":[3,120],"and":[4,30,40,71,86,111,116,121,139,162],"maintenance":[5,122],"of":[6,12,83,99,123,134,154],"data":[7,85,124,148],"assets,":[8],"threshold":[10],"triggering":[11],"network":[13,37],"anomaly":[14,43,114,135,155],"detection":[15,115,136,156],"is":[16,50,77,105,137,144,150,157],"mainly":[17],"based":[18,46],"on":[19,47],"a":[20,25,69],"single":[21],"parameter,":[22],"which":[23,159],"has":[24,160],"high":[26,163],"false":[27],"positive":[28],"rate":[29],"low":[31],"efficiency.":[32,164],"order":[34],"to":[35,59,79,95,107],"detect":[36,108],"anomalies":[38,93],"efficiently":[39],"accurately,":[41],"an":[42],"prediction":[44,117],"model":[45,76],"deep":[48],"learning":[49],"proposed.":[51],"Firstly,":[52],"O&M":[54,62,66],"application":[55],"scenarios":[56],"are":[57],"designed":[58],"meet":[60],"leaders'":[63],"requirements":[64],"for":[65],"support.":[67],"Then,":[68],"long":[70],"short":[72],"term":[73],"memory":[74],"autoencoder":[75],"constructed":[78],"reduce":[80],"dimensionality":[82],"lock":[87],"grid":[89],"where":[90],"suspicious":[92],"appear":[94],"facilitate":[96],"extraction":[98],"abnormal":[100],"information.":[101],"K-means":[102],"clustering":[103],"method":[104],"used":[106],"local":[109],"anomalies,":[110],"finally":[112],"realize":[113],"in":[118],"asset":[125],"operations.":[126],"The":[127,152],"results":[128],"show":[129],"that":[130],"root-mean-square":[132],"error":[133,143],"2.2%":[138],"average":[141],"absolute":[142],"24.3%":[145],"when":[146],"set":[149],"5000.":[151],"time":[153],"350ms,":[158],"advantages":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2024-10-15T00:00:00"}