@prefix prodottidellaricerca: . @prefix istituto: . @prefix prodotto: . istituto:CDS058 prodottidellaricerca:prodotto prodotto:ID36924 . @prefix pubblicazioni: . @prefix unitaDiPersonaleInterno: . unitaDiPersonaleInterno:MATRICOLA7574 pubblicazioni:autoreCNRDi prodotto:ID36924 . @prefix modulo: . modulo:ID2179 prodottidellaricerca:prodotto prodotto:ID36924 . @prefix rdf: . @prefix retescientifica: . prodotto:ID36924 rdf:type retescientifica:ProdottoDellaRicerca , prodotto:TIPO1101 . @prefix rdfs: . prodotto:ID36924 rdfs:label "An approach to model-based fault detection in industrial measurement systems with application to engine test benches (Articolo in rivista)"@en . @prefix xsd: . prodotto:ID36924 pubblicazioni:anno "2006-01-01T00:00:00+01:00"^^xsd:gYear ; pubblicazioni:doi "10.1088/0957-0233/17/7/020"^^xsd:string . @prefix skos: . prodotto:ID36924 skos:altLabel "
Plamen Angelov 1; Veniero Giglio 2; Carlos Guardiola 3; Edwin Lughofer 4; Jos\u00E9 Manuel Lujan 3 (2006)
An approach to model-based fault detection in industrial measurement systems with application to engine test benches
in Measurement science & technology (Print)
"^^rdf:HTML ; pubblicazioni:autori "Plamen Angelov 1; Veniero Giglio 2; Carlos Guardiola 3; Edwin Lughofer 4; Jos\u00E9 Manuel Lujan 3"^^xsd:string ; pubblicazioni:paginaInizio "1809"^^xsd:string ; pubblicazioni:paginaFine "1818"^^xsd:string ; pubblicazioni:numeroVolume "17"^^xsd:string . @prefix ns11: . prodotto:ID36924 pubblicazioni:rivista ns11:ID275863 ; skos:note "ISI Web of Science (WOS)"^^xsd:string ; pubblicazioni:affiliazioni "1) Department of Communication Systems, Lancaster University, UK; \n2) Istituto Motori, CNR, ITtaly; 3) CMT Motores Termicos, Universidad Politecnica de Valencia, Spain; 4) Department Knowledge-Based Mathematical Systems, Johannes Kepler University of Linz, Austria."^^xsd:string ; pubblicazioni:titolo "An approach to model-based fault detection in industrial measurement systems with application to engine test benches"^^xsd:string ; prodottidellaricerca:abstract "An approach to fault detection (FD) in industrial measurement systems is\nproposed in this paper which includes an identification strategy for early\ndetection of the appearance of a fault. This approach is model based, i.e.\nnominal models are used which represent the fault-free state of the on-line\nmeasured process. This approach is also suitable for off-line FD. The framework that combines FD with isolation and correction (FDIC) is outlined in this paper. The proposed approach is characterized by automatic\nthreshold determination, ability to analyse local properties of the models,\nand aggregation of different fault detection statements. The nominal models\nare built using data-driven and hybrid approaches, combining first principle models with on-line data-driven techniques. At the same time the models are transparent and interpretable. This novel approach is then verified on a number of real and simulated data sets of car engine test benches (both gasoline\u0097Alfa Romeo JTS, and diesel\u0097Caterpillar). It is demonstrated that the approach can work effectively in real industrial measurement systems with data of large dimensions in both on-line and off-line modes."@en ; prodottidellaricerca:prodottoDi modulo:ID2179 , istituto:CDS058 ; pubblicazioni:autoreCNR unitaDiPersonaleInterno:MATRICOLA7574 . @prefix parolechiave: . prodotto:ID36924 parolechiave:insiemeDiParoleChiave . ns11:ID275863 pubblicazioni:rivistaDi prodotto:ID36924 . parolechiave:insiemeDiParoleChiaveDi prodotto:ID36924 .