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dc.contributor.authorSoleimani, Morteza*
dc.contributor.authorCampean, I. Felician*
dc.contributor.authorNeagu, Daniel*
dc.date.accessioned2018-11-19T11:54:11Z
dc.date.available2018-11-19T11:54:11Z
dc.date.issued2018
dc.identifier.citationSoleimani M, Campean F and Neagu D (2018) Reliability challenges for automotive aftertreatment systems: a state-of-the-art perspective. Procedia Manufacturing. 16: 75-82.en_US
dc.identifier.urihttp://hdl.handle.net/10454/16655
dc.descriptionYesen_US
dc.description.abstractThis paper provides a critical review and discussion of major challenges with automotive aftertreatment systems from the viewpoint of the reliability of complex systems. The aim of this review is to systematically explore research efforts towards the three key issues affecting the reliability of aftertreatment systems: physical problems, control problems and fault diagnostics issues. The review covers important developments in technologies for control of the system, various methods proposed to tackle NOx sensor cross-sensitivity as well as fault detection and diagnostics methods, utilized on SCR, LNT and DPF systems. This paper discusses future challenges and research direction towards assured dependability of complex cyber-physical systems.en_US
dc.description.sponsorshipInPowerCare Project - JLR (Jaguar Land Rover)en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1016/j.promfg.2018.10.174en_US
dc.rights© 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)en_US
dc.subjectAftertreatment systemen_US
dc.subjectReliabilityen_US
dc.subjectControl strategyen_US
dc.subjectFault diagnosticsen_US
dc.subjectSensor cross-sensitivityen_US
dc.titleReliability challenges for automotive aftertreatment systems: a state-of-the-art perspectiveen_US
dc.status.refereedYesen_US
dc.date.Accepted2018-09-17
dc.date.application2018-11-02
dc.typeArticleen_US
dc.type.versionpublished version paperen_US
refterms.dateFOA2018-11-19T11:54:11Z


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