{"id":"https://openalex.org/W2810020224","doi":"https://doi.org/10.1109/icphys.2018.8387672","title":"Integrated IPC for data-driven fault detection","display_name":"Integrated IPC for data-driven fault detection","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2810020224","doi":"https://doi.org/10.1109/icphys.2018.8387672","mag":"2810020224"},"language":"en","primary_location":{"id":"doi:10.1109/icphys.2018.8387672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphys.2018.8387672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Industrial Cyber-Physical Systems (ICPS)","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/A5002631007","display_name":"Fabian Westbrink","orcid":null},"institutions":[{"id":"https://openalex.org/I3130920692","display_name":"South Westphalia University of Applied Sciences","ror":"https://ror.org/04t5phd24","country_code":"DE","type":"education","lineage":["https://openalex.org/I3130920692"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Fabian Westbrink","raw_affiliation_strings":["Department of Automation Technology, South Westphalia University of Applied Sciences, Soest, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Automation Technology, South Westphalia University of Applied Sciences, Soest, Germany","institution_ids":["https://openalex.org/I3130920692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067762331","display_name":"Gavneet Singh Chadha","orcid":"https://orcid.org/0000-0002-9374-9074"},"institutions":[{"id":"https://openalex.org/I3130920692","display_name":"South Westphalia University of Applied Sciences","ror":"https://ror.org/04t5phd24","country_code":"DE","type":"education","lineage":["https://openalex.org/I3130920692"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gavneet Singh Chadha","raw_affiliation_strings":["Department of Automation Technology, South Westphalia University of Applied Sciences, Soest, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Automation Technology, South Westphalia University of Applied Sciences, Soest, Germany","institution_ids":["https://openalex.org/I3130920692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025397538","display_name":"Andreas Schwung","orcid":"https://orcid.org/0000-0001-8405-0977"},"institutions":[{"id":"https://openalex.org/I3130920692","display_name":"South Westphalia University of Applied Sciences","ror":"https://ror.org/04t5phd24","country_code":"DE","type":"education","lineage":["https://openalex.org/I3130920692"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Schwung","raw_affiliation_strings":["Department of Automation Technology, South Westphalia University of Applied Sciences, Soest, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Automation Technology, South Westphalia University of Applied Sciences, Soest, Germany","institution_ids":["https://openalex.org/I3130920692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002631007"],"corresponding_institution_ids":["https://openalex.org/I3130920692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.06267855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":null,"first_page":"277","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9746000170707703,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9678999781608582,"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/computer-science","display_name":"Computer science","score":0.687456488609314},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.527317225933075},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3589951694011688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10242012143135071}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.687456488609314},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.527317225933075},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3589951694011688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10242012143135071},{"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/icphys.2018.8387672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphys.2018.8387672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Industrial Cyber-Physical Systems (ICPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1970537494","https://openalex.org/W1978403823","https://openalex.org/W1985567175","https://openalex.org/W2008616192","https://openalex.org/W2038728925","https://openalex.org/W2066653099","https://openalex.org/W2094012039","https://openalex.org/W2101234009","https://openalex.org/W2104848200","https://openalex.org/W2132029223","https://openalex.org/W2135663228","https://openalex.org/W2149853470","https://openalex.org/W2166042538","https://openalex.org/W2337881469","https://openalex.org/W2480364715","https://openalex.org/W2523469470","https://openalex.org/W2547901206","https://openalex.org/W2768198501","https://openalex.org/W2919115771","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Condition":[0],"monitoring":[1],"and":[2,15,20,29,49,68,175],"fault":[3,51,139,164,181],"detection":[4,22,52,140,187],"are":[5,173],"of":[6,23,32,74,91,131,162,199],"critical":[7],"importance":[8],"in":[9,26,135,202],"modern":[10],"industrial":[11,80,204],"processes":[12],"for":[13,71],"efficient":[14,28,72],"productive":[16],"machine":[17,75,132],"operation.":[18],"Early":[19],"accurate":[21],"faults":[24,194],"facilitates":[25],"the":[27,33,88,112,129,145,168,196,200],"secure":[30],"operation":[31],"plant":[34],"by":[35],"preventing":[36],"losses":[37],"due":[38,127],"to":[39,78,103,107,123,128,167,192],"machinery":[40],"breakdown.":[41],"In":[42],"this":[43],"study,":[44],"we":[45],"present":[46],"a":[47,92,108],"novel":[48],"rapid":[50],"methodology":[53],"using":[54],"an":[55,79,104,203],"integrated":[56,86],"Industrial":[57,83,113],"PC.":[58],"The":[59,82,138,189],"approach":[60],"is":[61,85,142],"based":[62],"on":[63],"integrating":[64],"existing":[65],"hardware":[66],"components":[67],"software":[69],"libraries":[70,134],"application":[73],"learning":[76,133],"algorithms":[77],"process.":[81],"PC":[84,114],"within":[87],"fieldbus":[89],"system":[90,201],"Bulk":[93,169],"Good":[94,170],"Laboratory":[95,171],"Plant":[96,172],"providing":[97],"superior":[98],"network":[99],"security":[100],"as":[101,121],"compared":[102,122],"external":[105],"connection":[106],"cloud":[109],"platform.":[110],"Additionally,":[111],"provides":[115],"predominantly":[116],"better":[117],"numerical":[118],"computation":[119],"functionality":[120],"traditional":[124],"PLC":[125],"environment":[126],"availability":[130],"high-level":[136],"languages.":[137],"procedure":[141],"accomplished":[143],"with":[144,153,185],"Principal":[146],"Component":[147],"Analysis":[148],"dimensionality":[149],"reduction":[150],"algorithm":[151],"along":[152],"Hotelling's":[154],"T":[155],"<sup":[156],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[157],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[158],"statistic.":[159],"A":[160],"variety":[161],"sensor":[163],"cases":[165,182],"pertinent":[166],"analysed":[174],"experimental":[176],"results":[177],"show":[178],"that":[179],"all":[180],"were":[183],"detected":[184],"low":[186],"delays.":[188],"time":[190],"required":[191],"detect":[193],"reflects":[195],"real-time":[197],"capabilities":[198],"scenario.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}