{"id":"https://openalex.org/W4407784439","doi":"https://doi.org/10.1109/comsnets63942.2025.10885642","title":"A Robust Framework for Online Fault Detection in Environmental Monitoring Using Pretrained Probabilistic Models","display_name":"A Robust Framework for Online Fault Detection in Environmental Monitoring Using Pretrained Probabilistic Models","publication_year":2025,"publication_date":"2025-01-06","ids":{"openalex":"https://openalex.org/W4407784439","doi":"https://doi.org/10.1109/comsnets63942.2025.10885642"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets63942.2025.10885642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets63942.2025.10885642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)","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/A5069618036","display_name":"Ritwik Dash","orcid":"https://orcid.org/0009-0002-9912-0370"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ritwik Dash","raw_affiliation_strings":["Indian Institute of Technology,Industrial & Systems Engineering,Kharagpur,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Industrial & Systems Engineering,Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001741510","display_name":"K. Sagar","orcid":"https://orcid.org/0000-0002-1679-8657"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kasturi Gyanaguna Sagar","raw_affiliation_strings":["Indian Institute of Technology,Industrial & Systems Engineering,Kharagpur,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Industrial & Systems Engineering,Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045394023","display_name":"Mamata Jenamani","orcid":"https://orcid.org/0000-0002-9642-657X"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mamata Jenamani","raw_affiliation_strings":["Indian Institute of Technology,Industrial & Systems Engineering,Kharagpur,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Industrial & Systems Engineering,Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069618036"],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0388115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"397","last_page":"404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9865999817848206,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9865999817848206,"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":0.9143999814987183,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7431718111038208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6943350434303284},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.6815276741981506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.441045880317688},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4403223693370819},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4053703546524048},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3578997254371643},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08640184998512268},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.06284472346305847}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7431718111038208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6943350434303284},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6815276741981506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.441045880317688},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4403223693370819},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4053703546524048},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3578997254371643},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08640184998512268},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.06284472346305847},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets63942.2025.10885642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets63942.2025.10885642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7900000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1602011302","https://openalex.org/W2003827925","https://openalex.org/W2150015649","https://openalex.org/W2172697690","https://openalex.org/W2300415889","https://openalex.org/W2403816530","https://openalex.org/W2565516711","https://openalex.org/W2588421568","https://openalex.org/W2902164950","https://openalex.org/W2913206818","https://openalex.org/W3082502178","https://openalex.org/W3165808570","https://openalex.org/W3169450514","https://openalex.org/W3184127157","https://openalex.org/W3195279647","https://openalex.org/W4205930708","https://openalex.org/W4283318673","https://openalex.org/W4309623083","https://openalex.org/W4382936664","https://openalex.org/W4391096001","https://openalex.org/W6862399047"],"related_works":["https://openalex.org/W2943623134","https://openalex.org/W2494523064","https://openalex.org/W2215759665","https://openalex.org/W2030292806","https://openalex.org/W2960358116","https://openalex.org/W2938171715","https://openalex.org/W4287727129","https://openalex.org/W3041172967","https://openalex.org/W2749065928","https://openalex.org/W2147155098"],"abstract_inverted_index":{"Accurate":[0],"detection":[1,66,130,167],"and":[2,13,26,83,89,122,135,150],"classification":[3],"of":[4,15,34,42,51,105,115,141,160],"sensor":[5,79,144,186],"faults":[6,178],"are":[7],"vital":[8],"for":[9,39,63,153],"maintaining":[10,132],"the":[11,40,68,77,106,161,185],"integrity":[12],"reliability":[14,136],"air":[16,154],"quality":[17,155,181],"monitoring":[18,182],"systems,":[19,44],"where":[20],"faulty":[21],"data":[22,80,180],"can":[23],"degrade":[24],"decision-making":[25],"hinder":[27],"timely":[28],"environmental":[29,47],"interventions.":[30],"Thus,":[31],"early":[32],"identification":[33],"such":[35],"anomalies":[36],"is":[37,57,109],"critical":[38],"deployment":[41],"fault-tolerant":[43],"specifically":[45],"in":[46,67,172,179],"monitoring.":[48,156],"The":[49,74,103,124,157],"concept":[50],"pretrained":[52],"probabilistic":[53],"time":[54],"series":[55],"models":[56,152],"utilized":[58],"to":[59],"design":[60],"a":[61,86,113,165],"framework":[62,75,108],"online":[64],"fault":[65,116,129,166],"AQI(Air":[69],"Quality":[70],"Index)":[71],"Monitoring":[72],"applications.":[73],"tokenizes":[76],"multivariate":[78],"through":[81],"scaling":[82],"quantization":[84],"into":[85],"fixed":[87],"vocabulary":[88],"leverages":[90],"transformer-based":[91],"language":[92],"model":[93,125],"architectures":[94],"trained":[95],"via":[96],"cross-entropy":[97],"loss":[98],"on":[99],"these":[100],"tokenized":[101],"values.":[102],"performance":[104],"proposed":[107,162],"also":[110],"evaluated":[111],"across":[112],"range":[114],"injection":[117],"scenarios,":[118],"testing":[119],"its":[120],"robustness":[121],"efficiency.":[123],"consistently":[126],"demonstrates":[127],"strong":[128],"capabilities,":[131],"high":[133],"accuracy":[134],"even":[137],"under":[138],"varying":[139],"levels":[140],"artificially":[142],"induced":[143],"faults,":[145],"further":[146],"outperforming":[147],"classical":[148],"methods":[149],"specialized":[151],"evaluation":[158],"results":[159],"method":[163],"demonstrate":[164],"rate":[168],"that":[169],"exceeds":[170],"95%":[171],"all":[173],"scenarios":[174],"while":[175],"effectively":[176],"categorizing":[177],"systems":[183],"at":[184],"node":[187],"level.":[188]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}