{"id":"https://openalex.org/W7118294954","doi":"https://doi.org/10.1109/indin64977.2025.11279721","title":"Graph Attention-Based Interpretable Deviation Network for Circulating Water Pump Situational Awareness","display_name":"Graph Attention-Based Interpretable Deviation Network for Circulating Water Pump Situational Awareness","publication_year":2025,"publication_date":"2025-07-12","ids":{"openalex":"https://openalex.org/W7118294954","doi":"https://doi.org/10.1109/indin64977.2025.11279721"},"language":null,"primary_location":{"id":"doi:10.1109/indin64977.2025.11279721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279721","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":"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/A5100350656","display_name":"Le Zhang","orcid":"https://orcid.org/0009-0007-8119-3869"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Zhang","raw_affiliation_strings":["Xi’an Jiaotong University,National and Local Joint Engineering Research Center of Equipment Operation Safety and Intelligent Monitoring,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,National and Local Joint Engineering Research Center of Equipment Operation Safety and Intelligent Monitoring,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046943571","display_name":"Wei Cheng","orcid":"https://orcid.org/0000-0002-1475-4079"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Cheng","raw_affiliation_strings":["Xi’an Jiaotong University,National and Local Joint Engineering Research Center of Equipment Operation Safety and Intelligent Monitoring,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,National and Local Joint Engineering Research Center of Equipment Operation Safety and Intelligent Monitoring,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122299092","display_name":"Shuo Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Zhang","raw_affiliation_strings":["Xi’an Jiaotong University,National and Local Joint Engineering Research Center of Equipment Operation Safety and Intelligent Monitoring,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,National and Local Joint Engineering Research Center of Equipment Operation Safety and Intelligent Monitoring,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045353377","display_name":"Zelin Nie","orcid":"https://orcid.org/0000-0003-4760-3581"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zelin Nie","raw_affiliation_strings":["Xi’an Jiaotong University,National and Local Joint Engineering Research Center of Equipment Operation Safety and Intelligent Monitoring,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,National and Local Joint Engineering Research Center of Equipment Operation Safety and Intelligent Monitoring,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.3513000011444092,"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":0.3513000011444092,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.09769999980926514,"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/T11220","display_name":"Water Systems and Optimization","score":0.09300000220537186,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.583899974822998},{"id":"https://openalex.org/keywords/situation-awareness","display_name":"Situation awareness","score":0.580299973487854},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5529999732971191},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4968000054359436},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46140000224113464},{"id":"https://openalex.org/keywords/interconnectivity","display_name":"Interconnectivity","score":0.4374000132083893},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.3691999912261963},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.32589998841285706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6525999903678894},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.583899974822998},{"id":"https://openalex.org/C145804949","wikidata":"https://www.wikidata.org/wiki/Q478123","display_name":"Situation awareness","level":2,"score":0.580299973487854},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5572999715805054},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5529999732971191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49900001287460327},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4968000054359436},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49230000376701355},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46140000224113464},{"id":"https://openalex.org/C25516864","wikidata":"https://www.wikidata.org/wiki/Q1665949","display_name":"Interconnectivity","level":2,"score":0.4374000132083893},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.3691999912261963},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C14911803","wikidata":"https://www.wikidata.org/wiki/Q7532148","display_name":"Situation analysis","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin64977.2025.11279721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279721","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":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5665168166160583}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2124670621","https://openalex.org/W2756203131","https://openalex.org/W2786827964","https://openalex.org/W3007048760","https://openalex.org/W3152893301","https://openalex.org/W3209127337","https://openalex.org/W4284698413","https://openalex.org/W4382203295","https://openalex.org/W4401162792","https://openalex.org/W4408280418"],"related_works":[],"abstract_inverted_index":{"The":[0,88],"increasing":[1],"complexity":[2],"and":[3,22,32,103,106,129,136,153],"interconnectivity":[4],"of":[5,150],"modern":[6],"process":[7],"industry":[8],"systems,":[9],"particularly":[10],"in":[11,20,42,49,148,160],"critical":[12],"infrastructure":[13],"such":[14],"as":[15],"circulating":[16,83],"water":[17,84],"pump":[18],"systems":[19],"nuclear":[21],"chemical":[23],"plants,":[24],"pose":[25],"significant":[26],"challenges":[27],"for":[28,82,158],"ensuring":[29],"operational":[30],"security":[31],"system-level":[33],"situational":[34,86],"awareness.":[35,87],"Conventional":[36],"deep":[37],"learning":[38],"models,":[39],"while":[40],"effective":[41],"temporal":[43],"pattern":[44],"recognition,":[45],"exhibit":[46],"limited":[47],"capability":[48],"capturing":[50],"spatial":[51],"dependencies":[52],"across":[53],"heterogeneous":[54],"sensor":[55,94],"networks,":[56],"thereby":[57],"restricting":[58],"their":[59],"ability":[60],"to":[61,110,124],"represent":[62],"dynamic":[63],"system":[64,85],"behavior.":[65],"To":[66],"address":[67],"these":[68],"limitations,":[69],"this":[70],"paper":[71],"presents":[72],"a":[73,117],"novel":[74],"method":[75,90,143],"titled":[76],"graph":[77],"attention-based":[78],"deviation":[79,119],"network":[80],"(GADN4SA)":[81],"proposed":[89,142],"dynamically":[91],"constructs":[92],"task-aware":[93],"graphs":[95],"based":[96],"on":[97,133],"signal":[98],"correlations,":[99],"integrates":[100],"both":[101,134],"structural":[102],"semantic":[104],"representations,":[105],"leverages":[107],"attention-guided":[108],"mechanisms":[109],"model":[111],"long-range":[112],"spatial-temporal":[113],"dependencies.":[114],"In":[115],"addition,":[116],"structured":[118],"scoring":[120],"module":[121],"is":[122],"incorporated":[123],"enable":[125],"interpretable":[126],"anomaly":[127],"quantification":[128],"attribution.":[130],"Extensive":[131],"experiments":[132],"simulated":[135],"real-world":[137],"datasets":[138],"demonstrate":[139],"that":[140],"the":[141],"consistently":[144],"outperforms":[145],"state-of-the-art":[146],"baselines":[147],"terms":[149],"robustness,":[151],"accuracy,":[152],"generalization,":[154],"highlighting":[155],"its":[156],"effectiveness":[157],"deployment":[159],"safety-critical":[161],"industrial":[162],"environments.":[163]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-08T00:00:00"}