{"id":"https://openalex.org/W3011926110","doi":"https://doi.org/10.1109/comsnets48256.2020.9027307","title":"Intelligent Fault Diagnosis of Air Brake System in Heavy Commercial Road Vehicles","display_name":"Intelligent Fault Diagnosis of Air Brake System in Heavy Commercial Road Vehicles","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011926110","doi":"https://doi.org/10.1109/comsnets48256.2020.9027307","mag":"3011926110"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets48256.2020.9027307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets48256.2020.9027307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on COMmunication Systems &amp; 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/A5061974366","display_name":"Radhika Raveendran","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Radhika Raveendran","raw_affiliation_strings":["Department of Engineering Design, IIT Madras, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Design, IIT Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":null,"display_name":"K. B. Devika","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. B. Devika","raw_affiliation_strings":["Department of Engineering Design, IIT Madras, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Design, IIT Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039918256","display_name":"Shankar C. Subramanian","orcid":"https://orcid.org/0000-0001-6710-2202"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shankar C. Subramanian","raw_affiliation_strings":["Department of Engineering Design, IIT Madras, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Design, IIT Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061974366"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.7438,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.70130861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"93","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9807000160217285,"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/T10409","display_name":"Fuel Cells and Related Materials","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/brake","display_name":"Brake","score":0.8358040452003479},{"id":"https://openalex.org/keywords/air-brake","display_name":"Air brake","score":0.6906318068504333},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.6738300323486328},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6713287830352783},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.6061025857925415},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5600435137748718},{"id":"https://openalex.org/keywords/fault-tree-analysis","display_name":"Fault tree analysis","score":0.5461174845695496},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5023458003997803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46124333143234253},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.42536187171936035},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.4211558401584625},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3741036057472229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28294071555137634},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.2626093029975891},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.06239199638366699}],"concepts":[{"id":"https://openalex.org/C2780999251","wikidata":"https://www.wikidata.org/wiki/Q17022503","display_name":"Brake","level":2,"score":0.8358040452003479},{"id":"https://openalex.org/C102640327","wikidata":"https://www.wikidata.org/wiki/Q3169624","display_name":"Air brake","level":3,"score":0.6906318068504333},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6738300323486328},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6713287830352783},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.6061025857925415},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5600435137748718},{"id":"https://openalex.org/C107094494","wikidata":"https://www.wikidata.org/wiki/Q428453","display_name":"Fault tree analysis","level":2,"score":0.5461174845695496},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5023458003997803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46124333143234253},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.42536187171936035},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.4211558401584625},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3741036057472229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28294071555137634},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2626093029975891},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.06239199638366699},{"id":"https://openalex.org/C89423630","wikidata":"https://www.wikidata.org/wiki/Q7193","display_name":"Microbiology","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets48256.2020.9027307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets48256.2020.9027307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on COMmunication Systems &amp; NETworkS (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2010186890","https://openalex.org/W2020542021","https://openalex.org/W2045732427","https://openalex.org/W2081102568","https://openalex.org/W2103165366","https://openalex.org/W2110106540","https://openalex.org/W2118282559","https://openalex.org/W2125055259","https://openalex.org/W2284743678","https://openalex.org/W2888158716","https://openalex.org/W2911964244","https://openalex.org/W4210274491","https://openalex.org/W4230914848"],"related_works":["https://openalex.org/W621502132","https://openalex.org/W2765473049","https://openalex.org/W2086493685","https://openalex.org/W3013526985","https://openalex.org/W2377070426","https://openalex.org/W2364185811","https://openalex.org/W2348584132","https://openalex.org/W563508643","https://openalex.org/W2386681846","https://openalex.org/W2359699189"],"abstract_inverted_index":{"Fault":[0],"detection":[1,59],"and":[2,46,60,79,101],"isolation":[3,61],"in":[4,23,44,50,67,93],"brake":[5,65,118,127],"system":[6,66],"is":[7],"crucial":[8],"for":[9,41,63,104],"the":[10,94,105,111,122],"safe":[11],"operation":[12],"of":[13,116,125,137],"autonomous":[14],"vehicles.":[15],"Failure":[16],"to":[17,28,86],"detect":[18],"impending":[19],"faults":[20],"may":[21],"result":[22],"component":[24],"degradation,":[25],"which":[26],"leads":[27],"vehicle":[29],"breakdown.":[30],"In":[31],"recent":[32],"years,":[33],"Machine":[34],"Learning":[35],"techniques":[36],"have":[37,83],"been":[38,84],"widely":[39],"used":[40,85],"fault":[42,51,58,88],"diagnosis":[43],"vehicles":[45],"hence":[47],"provide":[48],"intelligence":[49],"prediction.":[52],"This":[53],"paper":[54],"proposes":[55],"a":[56,129],"general":[57],"method":[62],"air":[64,117,126],"Heavy":[68],"Commercial":[69],"Road":[70],"Vehicle":[71],"(HCRV)":[72],"using":[73],"machine":[74],"learning":[75],"techniques.":[76],"Decision":[77],"tree":[78],"random":[80,130],"forest":[81,131],"methods":[82],"learn":[87],"patterns":[89],"that":[90],"are":[91],"reflected":[92],"wheel":[95],"speed":[96],"sensor":[97],"data.":[98],"The":[99],"training":[100],"testing":[102],"data":[103],"diagnostic":[106],"scheme":[107],"were":[108],"collected":[109],"from":[110],"Hardware-in-Loop":[112],"(HiL)":[113],"set":[114],"up":[115],"system.":[119],"To":[120],"classify":[121],"fault/no-fault":[123],"conditions":[124],"system,":[128],"approach":[132],"gave":[133],"good":[134],"prediction":[135],"accuracy":[136],"94.47":[138],"%.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
