Development of misfire detection algorithm using quantitative FDI performance analysis
2015 (English)In: Control Engineering Practice, ISSN 0967-0661, Vol. 34, 49-60 p.Article in journal (Refereed) Published
A model-based misfire detection algorithm is proposed. The algorithm is able to detect misfires and identify the failing cylinder during different conditions, such as cylinder-to-cylinder variations, cold starts, and different engine behavior in different operating points. Also, a method is proposed for automatic tuning of the algorithm based on training data. The misfire detection algorithm is evaluated using data from several vehicles on the road and the results show that a low misclassification rate is achieved even during difficult conditions. (C) 2014 Elsevier Ltd. All rights reserved.
Place, publisher, year, edition, pages
Elsevier , 2015. Vol. 34, 49-60 p.
Misfire detection; Fault diagnosis; Fault detection and isolation; Kullback-Leibler divergence; Pattern recognition
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:liu:diva-114011DOI: 10.1016/j.conengprac.2014.10.001ISI: 000347599500005OAI: oai:DiVA.org:liu-114011DiVA: diva2:786796
Funding Agencies|Volvo Car Corporation; Swedish Research Council within the Linnaeus Center CADICS2015-02-062015-02-052015-11-05