{"id":"https://openalex.org/W7208744348","doi":"https://doi.org/10.1145/3819836.3819974","title":"Research on Industry-LLM Fault Diagnosis and Decision-Making with Knowledge Augmentation and Multimodal Alignment","display_name":"Research on Industry-LLM Fault Diagnosis and Decision-Making with Knowledge Augmentation and Multimodal Alignment","publication_year":2026,"publication_date":"2026-03-13","ids":{"openalex":"https://openalex.org/W7208744348","doi":"https://doi.org/10.1145/3819836.3819974"},"language":"en","primary_location":{"id":"doi:10.1145/3819836.3819974","doi":"https://doi.org/10.1145/3819836.3819974","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3819836.3819974","pdf_url":null,"source":{"id":"https://openalex.org/S7407086879","display_name":"International Conference on Cyber Security, Artificial Intelligence and Digital Economy (CSAIDE)","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 5th International Conference on Cyber Security, Artificial Intelligence and Digital Economy","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3819836.3819974","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113788002","display_name":"Jiqing Cao","orcid":"https://orcid.org/0009-0001-9972-8194","observed_orcids":["https://orcid.org/0009-0001-9972-8194"]},"institutions":[{"id":"https://openalex.org/I4210159685","display_name":"Suzhou Industrial Park Institute of Services Outsourcing","ror":"https://ror.org/05xwtrp65","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210159685"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiqing Cao","raw_affiliation_strings":["Department of Information Engineering, Suzhou Industrial Park Institute of Service Outsourcing, Suzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0001-9972-8194","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Suzhou Industrial Park Institute of Service Outsourcing, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I4210159685"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5149982808","display_name":"Xiaoyu Zhao","orcid":"https://orcid.org/0009-0005-3193-8530","observed_orcids":["https://orcid.org/0009-0005-3193-8530"]},"institutions":[{"id":"https://openalex.org/I4405278800","display_name":"SceneRay (China)","ror":"https://ror.org/00jn5f986","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405278800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Zhao","raw_affiliation_strings":["Department of Information Technology, SceneRay Medical Technology (Suzhou) Co., Ltd., Suzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0005-3193-8530","affiliations":[{"raw_affiliation_string":"Department of Information Technology, SceneRay Medical Technology (Suzhou) Co., Ltd., Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I4405278800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"927","last_page":"931"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9082000255584717,"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":0.9082000255584717,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.07670000195503235,"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/T10763","display_name":"Digital Transformation in Industry","score":0.0034000000450760126,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/industrial-fault-diagnosis","display_name":"industrial fault diagnosis","score":0.8230000138282776},{"id":"https://openalex.org/keywords/maintenance-decision-making","display_name":"maintenance decision-making","score":0.8679999709129333},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.8970000147819519},{"id":"https://openalex.org/keywords/knowledge-improvement","display_name":"knowledge improvement","score":0.6819999814033508},{"id":"https://openalex.org/keywords/multimodal-alignment","display_name":"multimodal alignment","score":0.7979999780654907},{"id":"https://openalex.org/keywords/knowledge-graphs","display_name":"knowledge graphs","score":0.6209999918937683},{"id":"https://openalex.org/keywords/chain-of-thought","display_name":"chain-of-thought","score":0.878000020980835},{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"few-shot learning","score":0.8349999785423279},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.6959999799728394},{"id":"https://openalex.org/keywords/sensor-signals","display_name":"sensor signals","score":0.5730000138282776},{"id":"https://openalex.org/keywords/smart-manufacturing","display_name":"smart manufacturing","score":0.7369999885559082},{"id":"https://openalex.org/keywords/mean-time-to-repair","display_name":"mean time to repair","score":0.7710000276565552}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8357999920845032},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6345999836921692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6230999827384949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.558899998664856},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4618000090122223},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.42399999499320984},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4083999991416931},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3935000002384186},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3894999921321869},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.3749000132083893},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.36000001430511475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32839998602867126},{"id":"https://openalex.org/C23725684","wikidata":"https://www.wikidata.org/wiki/Q616377","display_name":"Maintenance engineering","level":2,"score":0.31790000200271606},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3052999973297119},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.30000001192092896},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2718000113964081},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.25440001487731934},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3819836.3819974","doi":"https://doi.org/10.1145/3819836.3819974","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3819836.3819974","pdf_url":null,"source":{"id":"https://openalex.org/S7407086879","display_name":"International Conference on Cyber Security, Artificial Intelligence and Digital Economy (CSAIDE)","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 5th International Conference on Cyber Security, Artificial Intelligence and Digital Economy","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3819836.3819974","doi":"https://doi.org/10.1145/3819836.3819974","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3819836.3819974","pdf_url":null,"source":{"id":"https://openalex.org/S7407086879","display_name":"International Conference on Cyber Security, Artificial Intelligence and Digital Economy (CSAIDE)","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 5th International Conference on Cyber Security, Artificial Intelligence and Digital Economy","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6773999929428101,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2029608738","https://openalex.org/W2607594903","https://openalex.org/W2768753204","https://openalex.org/W2810292802","https://openalex.org/W2972137370","https://openalex.org/W4309674289","https://openalex.org/W7133211372"],"related_works":["https://openalex.org/W4408046274","https://openalex.org/W4408399367","https://openalex.org/W7160704382","https://openalex.org/W7171679806","https://openalex.org/W4417510379","https://openalex.org/W7208759716","https://openalex.org/W4403888242","https://openalex.org/W7119847897","https://openalex.org/W7131362995","https://openalex.org/W7132841595"],"abstract_inverted_index":{"With":[0],"the":[1,34,57,66,83,98,154],"increasing":[2],"complexity":[3],"of":[4,31,59,86],"intelligent":[5],"manufacturing":[6],"systems,":[7],"fault":[8,26,124],"diagnosis":[9,125],"and":[10,28,49,90,140,150],"maintenance":[11,103,142],"decision-making":[12,35],"for":[13,122],"key":[14],"production":[15],"equipment":[16,62],"face":[17],"severe":[18],"challenges":[19],"such":[20],"as":[21,147],"heterogeneous":[22],"data":[23],"silos,":[24],"scarce":[25],"samples,":[27],"a":[29,72,92,116],"lack":[30],"interpretability":[32],"in":[33,100,119,136],"process.":[36],"This":[37],"paper":[38],"proposes":[39],"an":[40,60],"Industry-LLM":[41],"architecture":[42,53],"integrating":[43],"domain":[44,69],"knowledge":[45,63],"enhancement,":[46],"multimodal":[47,74],"perception,":[48],"temporal":[50],"reasoning.":[51],"The":[52],"incrementally":[54],"pre-trains":[55],"through":[56],"construction":[58],"industrial":[61],"graph,":[64],"endowing":[65],"model":[67,99],"with":[68],"commonsense;":[70],"designs":[71],"specialized":[73],"temporal-text":[75],"alignment":[76],"encoder":[77],"to":[78,96,128,157],"map":[79],"sensor":[80],"signals":[81],"into":[82],"semantic":[84],"space":[85],"large":[87],"language":[88],"models;":[89],"introduces":[91],"Chain-of-Thought":[93],"(CoT)":[94],"mechanism":[95],"guide":[97],"generating":[101],"interpretable":[102],"decision":[104],"reports":[105],"containing":[106],"logical":[107],"reasoning":[108],"processes.":[109],"Experiments":[110],"demonstrate":[111],"that":[112],"this":[113],"method":[114],"achieves":[115],"12.5%":[117],"improvement":[118],"F1":[120],"score":[121],"few-shot":[123],"scenarios":[126],"compared":[127],"traditional":[129],"convolutional":[130],"neural":[131],"networks,":[132],"maintains":[133],"high":[134],"robustness":[135],"strong":[137],"noise":[138],"environments,":[139],"produces":[141],"solutions":[143],"evaluated":[144],"by":[145],"experts":[146],"highly":[148],"feasible":[149],"safe,":[151],"significantly":[152],"reducing":[153],"mean":[155],"time":[156],"repair":[158],"(MTTR).":[159]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-09-05T00:00:00"}
