{"id":"https://openalex.org/W2984146306","doi":"https://doi.org/10.23919/iconac.2019.8895249","title":"Reconstruction based Fault Prognosis in Dynamic Processes using Canonical Variate Analysis","display_name":"Reconstruction based Fault Prognosis in Dynamic Processes using Canonical Variate Analysis","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2984146306","doi":"https://doi.org/10.23919/iconac.2019.8895249","mag":"2984146306"},"language":"en","primary_location":{"id":"doi:10.23919/iconac.2019.8895249","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2019.8895249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th International Conference on Automation and Computing (ICAC)","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/A5015378932","display_name":"Karl Ezra Pilario","orcid":"https://orcid.org/0000-0001-5448-0909"},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Karl Ezra S. Pilario","raw_affiliation_strings":["Cranfield University,Department of Energy and Power,U.K,MK43 0AL","Department of Energy and Power, Cranfield University, U.K"],"affiliations":[{"raw_affiliation_string":"Cranfield University,Department of Energy and Power,U.K,MK43 0AL","institution_ids":["https://openalex.org/I82284825"]},{"raw_affiliation_string":"Department of Energy and Power, Cranfield University, U.K","institution_ids":["https://openalex.org/I82284825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063018198","display_name":"Yi Cao","orcid":"https://orcid.org/0000-0003-2360-1485"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Cao","raw_affiliation_strings":["Zhejiang University,College of Chemical and Biological Engineering,Hangzhou,China","College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Chemical and Biological Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051005684","display_name":"Mahmood Shafiee","orcid":"https://orcid.org/0000-0002-6122-5719"},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mahmood Shafiee","raw_affiliation_strings":["Cranfield University,Department of Energy and Power,U.K,MK43 0AL","Department of Energy and Power, Cranfield University, U.K"],"affiliations":[{"raw_affiliation_string":"Cranfield University,Department of Energy and Power,U.K,MK43 0AL","institution_ids":["https://openalex.org/I82284825"]},{"raw_affiliation_string":"Department of Energy and Power, Cranfield University, U.K","institution_ids":["https://openalex.org/I82284825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026040383","display_name":"Liyun Lao","orcid":"https://orcid.org/0000-0003-1915-3229"},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Liyun Lao","raw_affiliation_strings":["Cranfield University,Department of Energy and Power,U.K,MK43 0AL","Department of Energy and Power, Cranfield University, U.K"],"affiliations":[{"raw_affiliation_string":"Cranfield University,Department of Energy and Power,U.K,MK43 0AL","institution_ids":["https://openalex.org/I82284825"]},{"raw_affiliation_string":"Department of Energy and Power, Cranfield University, U.K","institution_ids":["https://openalex.org/I82284825"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015378932"],"corresponding_institution_ids":["https://openalex.org/I82284825"],"apc_list":null,"apc_paid":null,"fwci":0.6653,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70955452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/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/T12282","display_name":"Mineral Processing and Grinding","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.71463543176651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5877282023429871},{"id":"https://openalex.org/keywords/random-variate","display_name":"Random variate","score":0.587174654006958},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.583224892616272},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5527382493019104},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5523305535316467},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5047165155410767},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.48381441831588745},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4153480529785156},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4127185344696045},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.38509100675582886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3694925904273987},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3506576418876648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33813154697418213},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25708621740341187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.240290105342865},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.21153923869132996},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16939324140548706},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.12740689516067505},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.11423042416572571}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.71463543176651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5877282023429871},{"id":"https://openalex.org/C141547133","wikidata":"https://www.wikidata.org/wiki/Q7291996","display_name":"Random variate","level":3,"score":0.587174654006958},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.583224892616272},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5527382493019104},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5523305535316467},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5047165155410767},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.48381441831588745},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4153480529785156},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4127185344696045},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.38509100675582886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3694925904273987},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3506576418876648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33813154697418213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25708621740341187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.240290105342865},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.21153923869132996},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16939324140548706},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.12740689516067505},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.11423042416572571},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/iconac.2019.8895249","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2019.8895249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th International Conference on Automation and Computing (ICAC)","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":20,"referenced_works":["https://openalex.org/W1833774285","https://openalex.org/W1968140153","https://openalex.org/W2002378802","https://openalex.org/W2050211799","https://openalex.org/W2098815387","https://openalex.org/W2139887448","https://openalex.org/W2186879008","https://openalex.org/W2322097696","https://openalex.org/W2418363708","https://openalex.org/W2441266639","https://openalex.org/W2586502716","https://openalex.org/W2729884040","https://openalex.org/W2766196499","https://openalex.org/W2774157239","https://openalex.org/W2781644383","https://openalex.org/W2789634333","https://openalex.org/W2790565135","https://openalex.org/W2822775433","https://openalex.org/W2895200754","https://openalex.org/W2906077204"],"related_works":["https://openalex.org/W4254888883","https://openalex.org/W2784077364","https://openalex.org/W2171218219","https://openalex.org/W4243513811","https://openalex.org/W1972271943","https://openalex.org/W2150410159","https://openalex.org/W4327525404","https://openalex.org/W4287185323","https://openalex.org/W3150905897","https://openalex.org/W2118844790"],"abstract_inverted_index":{"Incipient":[0],"fault":[1,46,73,100,120,137],"prognosis":[2,121],"is":[3,28,41,68,92,133],"an":[4,118],"important":[5],"task":[6],"in":[7,55,102,140],"industrial":[8],"process":[9,23,51],"monitoring,":[10],"as":[11],"it":[12],"deals":[13],"with":[14,65],"the":[15,18,38,44,49,56,72,85,96,106,112,115,130],"prediction":[16,98],"of":[17,20,84,99,111,129],"degradation":[19],"a":[21,25,76,81,141],"faulty":[22],"until":[24],"failure":[26],"threshold":[27],"reached.":[29],"For":[30],"multivariate":[31,125],"processes":[32],"working":[33],"under":[34],"varying":[35],"operating":[36],"conditions,":[37],"existing":[39],"challenge":[40],"to":[42,70,104],"distinguish":[43],"non-stationary":[45],"trend":[47],"from":[48,80],"usual":[50],"dynamic":[52,124],"trends":[53],"present":[54],"measured":[57],"signals.":[58],"In":[59],"this":[60],"paper,":[61],"canonical":[62],"variate":[63],"analysis":[64],"Kalman":[66],"filtering":[67],"proposed":[69,131],"reconstruct":[71],"signal":[74,78],"against":[75],"reference":[77],"predicted":[79],"state-space":[82],"model":[83],"normal":[86],"process.":[87,113,144],"Vector":[88],"autoregressive":[89],"(VAR)":[90],"modelling":[91],"then":[93],"used":[94],"for":[95,123],"long-term":[97],"signals":[101],"order":[103],"compute":[105],"remaining":[107],"useful":[108],"life":[109],"(RUL)":[110],"Hence,":[114],"approach":[116],"constitutes":[117],"efficient":[119],"method":[122,132],"processes.":[126],"The":[127],"effectiveness":[128],"demonstrated":[134],"using":[135],"incipient":[136],"case":[138],"studies":[139],"chemical":[142],"reactor":[143]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
