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Fault Diagnosis in Hybrid Electric Vehicle Regenerative Braking System

contributor authorSankavaram, Chaitanya
contributor authorPattipati, B.
contributor authorPattipati, Krishna R.
contributor authorYilu Zhang
contributor authorHowell, Michael
date accessioned2020-03-13T00:25:34Z
date available2020-03-13T00:25:34Z
date issued2014
identifier issn2169-3536
identifier other6920008.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1146293?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleFault Diagnosis in Hybrid Electric Vehicle Regenerative Braking System
typeJournal Paper
contenttypeMetadata Only
identifier padid8329091
subject keywordsenergy conservation
subject keywordsfault diagnosis
subject keywordsfeature extraction
subject keywordshybrid electric vehicles
subject keywordsregenerative braking
subject keywordssignal processing
subject keywordsstatistical analysis
subject keywordsaerospace systems
subject keywordsautomobiles
subject keywordsbuildings
subject keywordsdata reduction
subject keywordselectric vehicles
subject keywordsenergy efficiency
subject keywordsenvironmentally friendly technology
subject keywordsfault classification methodology
subject keywordsfault detection
subject keywordsfault diagnosis
subject keywordsfault isolation
subject keywordsfeature extraction
subject keywordshybrid electric vehicle regenerative braking system
subject keywordsmemory-constrained electronic control units
subject keywordssignal processin
identifier doi10.1109/ACCESS.2014.2362756
journal titleAccess, IEEE
journal volume2
filesize9152031
citations0


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