Analysis of Fault Detection and Identification for Heading Control of a four wheel vehicle

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dc.authorid0000-0002-3188-8116
dc.contributor.authorÖzgen, Seda Postalcıoğlu
dc.contributor.authorKracht, Manuel
dc.contributor.authorBerger, Laura
dc.contributor.authorBertram, Torsten
dc.date.accessioned2021-06-23T18:51:59Z
dc.date.available2021-06-23T18:51:59Z
dc.date.issued2010
dc.departmentBAİBÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.descriptionDaebo Communication and Systems (DBCS);Ericsson;et al.;HiPlus;Hyundai;Kia Motorsen_US
dc.description17th World Congress on Intelligent Transport Systems, ITS 2010 -- 25 October 2010 through 29 October 2010 -- -- 116982en_US
dc.description.abstractThis paper deals with an analysis of Fault Detection and Identification (FDI) based on a Heading Control (HC System) for a four wheel vehicle. Such a HC System helps reducing the required torque from the driver to stay in the desired lane. The performance of FDI based HC System is examined using IPG-CarMaker with Matlab Simulink, while for the controller of the HC System the optimal control theory is applied. The vehicle used in IPG-CarMaker is a Mercedes E-Class model with this designed HC System integrated. Based on this system with its characteristics a fault detection and identification system is developed as a failure of this HC System can lead to an increasing workload of the driver or even an instable system. The Fault Detection and Identification module using Fourier transformation for signal processing and statistical analysis and neural networks for feature extraction and clustering of faults is integrated into the simulation model and its performance is analyzed.en_US
dc.identifier.scopus2-s2.0-84953897060en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12491/4083
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84953897060&partnerID=40&md5=1fdefb46404357fec877d33c2b18b462
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÖzgen, Seda Postalcıoğlu
dc.language.isoenen_US
dc.publisherIntelligent Transport Systems (ITS)en_US
dc.relation.ispartof17th ITS World Congressen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAutomobile Manufactureen_US
dc.subjectChemical Detection
dc.subjectFeature Extraction
dc.titleAnalysis of Fault Detection and Identification for Heading Control of a four wheel vehicleen_US
dc.typeConference Objecten_US

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