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dc.contributor.advisorOlsen, Anna
dc.contributor.advisorLiu, Yiliu
dc.contributor.advisorMatveev, Alexey
dc.contributor.authorMert, Cagla
dc.date.accessioned2022-10-20T17:19:39Z
dc.date.available2022-10-20T17:19:39Z
dc.date.issued2022
dc.identifierno.ntnu:inspera:109479079:64598724
dc.identifier.urihttps://hdl.handle.net/11250/3027405
dc.description.abstract
dc.description.abstractThis thesis presents relevant factors to consider when designing and analyzing an accelerated reliability test, such as reliability test types, stress factors, stress level calculations, resource allocation, data analysis and interpretation specialized for drone motors. The theory and system analysis are used to explain three case-studies for a concrete understanding of the subject which are composed based on the Alva X60 type motor data and design. These case studies are analyzed with reliability Python library and a reliability estimate is found accordingly.
dc.languageeng
dc.publisherNTNU
dc.titleReliability Test Framework for Electric Motors for Aerial Applications
dc.typeMaster thesis


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