{"id":"https://openalex.org/W7119197758","doi":"https://doi.org/10.1109/indin64977.2025.11279584","title":"A Deep Learning-Based Predictive Anomaly Detection method for Coal Mine Production Safety","display_name":"A Deep Learning-Based Predictive Anomaly Detection method for Coal Mine Production Safety","publication_year":2025,"publication_date":"2025-07-12","ids":{"openalex":"https://openalex.org/W7119197758","doi":"https://doi.org/10.1109/indin64977.2025.11279584"},"language":null,"primary_location":{"id":"doi:10.1109/indin64977.2025.11279584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279584","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/A5122276238","display_name":"Pengwu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengwu Liu","raw_affiliation_strings":["Kunming University of Science and Technology,Faculty of Information Engineering and Automation,Kunming,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology,Faculty of Information Engineering and Automation,Kunming,China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079787503","display_name":"Yufu Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161003","display_name":"Qingdao Center of Resource Chemistry and New Materials","ror":"https://ror.org/05x85k702","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210089297","https://openalex.org/I4210161003"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufu Hao","raw_affiliation_strings":["Institute Co.,China CNR Qingdao Sifang Research,Qingdao,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute Co.,China CNR Qingdao Sifang Research,Qingdao,China","institution_ids":["https://openalex.org/I4210161003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120975869","display_name":"Huaiping Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaiping Jin","raw_affiliation_strings":["Kunming University of Science and Technology,Faculty of Information Engineering and Automation,Kunming,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology,Faculty of Information Engineering and Automation,Kunming,China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122108745","display_name":"Haining Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138629","display_name":"Yunnan Provincial Department of Education","ror":"https://ror.org/02yrxdp92","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210138629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haining Wang","raw_affiliation_strings":["Monitoring Center,Yunnan Provincial Energy Security,Kunming,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monitoring Center,Yunnan Provincial Energy Security,Kunming,China","institution_ids":["https://openalex.org/I4210138629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122198728","display_name":"Shuangliang Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138629","display_name":"Yunnan Provincial Department of Education","ror":"https://ror.org/02yrxdp92","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210138629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangliang Tian","raw_affiliation_strings":["Monitoring Center,Yunnan Provincial Energy Security,Kunming,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monitoring Center,Yunnan Provincial Energy Security,Kunming,China","institution_ids":["https://openalex.org/I4210138629"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122265594","display_name":"Hao Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Fang","raw_affiliation_strings":["Kunming University of Science and Technology,Faculty of Information Engineering and Automation,Kunming,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology,Faculty of Information Engineering and Automation,Kunming,China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"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":0.59402087,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11284","display_name":"Coal Properties and Utilization","score":0.13699999451637268,"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"}},"topics":[{"id":"https://openalex.org/T11284","display_name":"Coal Properties and Utilization","score":0.13699999451637268,"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"}},{"id":"https://openalex.org/T13065","display_name":"Mining Techniques and Economics","score":0.1242000013589859,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.07970000058412552,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/coal-mining","display_name":"Coal mining","score":0.8008000254631042},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6347000002861023},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.602400004863739},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5252000093460083},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47040000557899475},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.4562000036239624},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4147000014781952},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.413100004196167},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.3407000005245209}],"concepts":[{"id":"https://openalex.org/C108615695","wikidata":"https://www.wikidata.org/wiki/Q12880211","display_name":"Coal mining","level":3,"score":0.8008000254631042},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6347000002861023},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.602400004863739},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5252000093460083},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47040000557899475},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.4562000036239624},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4147000014781952},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.413100004196167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40630000829696655},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4056999981403351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3441999852657318},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3407000005245209},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.32910001277923584},{"id":"https://openalex.org/C518851703","wikidata":"https://www.wikidata.org/wiki/Q24489","display_name":"Coal","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3240000009536743},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.31380000710487366},{"id":"https://openalex.org/C2779141794","wikidata":"https://www.wikidata.org/wiki/Q12099081","display_name":"Mine safety","level":4,"score":0.31310001015663147},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.3073999881744385},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.3003000020980835},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.2897000014781952},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin64977.2025.11279584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279584","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W3015959599","https://openalex.org/W3046306269","https://openalex.org/W3127059269","https://openalex.org/W4285817006","https://openalex.org/W4289635928","https://openalex.org/W4312258185","https://openalex.org/W4384948875","https://openalex.org/W4387191620","https://openalex.org/W4390494339","https://openalex.org/W4400894139","https://openalex.org/W4401019711","https://openalex.org/W4402966041","https://openalex.org/W4404237979","https://openalex.org/W4404724032","https://openalex.org/W4406364055","https://openalex.org/W4406588458","https://openalex.org/W4407013050","https://openalex.org/W4407065062"],"related_works":[],"abstract_inverted_index":{"Abnormal":[0],"working":[1],"conditions":[2,164],"in":[3,160],"coal":[4,103,178],"mine":[5,104,179],"production":[6,30,66,105,129],"present":[7],"critical":[8],"risks":[9],"to":[10,33,86],"operational":[11,99,137,175],"safety":[12,173],"and":[13,147,165,174],"miner":[14],"welfare.":[15],"Traditional":[16],"methods":[17],"based":[18],"on":[19],"time":[20],"series":[21],"anomaly":[22,123],"detection":[23,34,124],"suffer":[24],"from":[25,112],"insufficient":[26],"integration":[27],"of":[28,136,177],"actual":[29],"processes,":[31],"leading":[32],"outcomes":[35],"with":[36,59,114,127],"weak":[37],"practical":[38],"relevance.":[39],"To":[40],"meet":[41],"the":[42,78,93,102,119,156,162,172],"challenge,":[43],"this":[44],"paper":[45],"proposes":[46],"a":[47,60,74],"novel":[48],"AE-RNN-BiLSTM-GHMM":[49],"framework":[50,71,120],"(ARBG),":[51],"which":[52],"systematically":[53],"integrates":[54],"an":[55],"AE-RNN-BiLSTM":[56],"predictor":[57],"(ARB)":[58],"Gaussian":[61],"Hidden":[62],"Markov":[63],"Model":[64],"(GHMM)-based":[65],"process":[67,116,148],"analyzer.":[68],"The":[69,151],"ARBG":[70,157],"operates":[72],"through":[73,139],"dual-modality":[75],"architecture.":[76],"First,":[77],"ARB":[79,113],"component":[80],"leverages":[81],"historical":[82],"electricity":[83],"consumption":[84,145],"patterns":[85],"forecast":[87],"future":[88],"energy":[89,144],"usage":[90],"profiles.":[91],"Concurrently,":[92],"GHMM":[94],"module":[95],"dynamically":[96],"models":[97],"latent":[98],"states":[100],"within":[101],"workflow.":[106],"By":[107],"synergistically":[108],"integrating":[109],"real-time":[110],"predictions":[111],"GHMM-derived":[115],"state":[117,149],"diagnostics,":[118],"achieves":[121],"context-aware":[122],"that":[125,155],"aligns":[126],"physical":[128],"constraints.":[130],"This":[131],"fusion":[132],"enables":[133],"predictive":[134],"identification":[135],"deviations":[138],"multidimensional":[140],"correlation":[141],"analysis":[142],"between":[143],"forecasts":[146],"transitions.":[150],"experimental":[152],"results":[153],"show":[154],"performs":[158],"well":[159],"discriminating":[161],"load":[163],"provides":[166],"reliable":[167],"technical":[168],"support":[169],"for":[170],"improving":[171],"efficiency":[176],"production.":[180]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-08T00:00:00"}