IPMSM rotor geometries and torque curves training data for DL CNNs

This data is collected as part of the study "Towards End-to-end Deep Learning-assisted Design of Electric Machines: Predicting Torque Curves from Rotor Geometries using CNNs" to train deep learning artificial convolutional neural networks

THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

Identifier
DOI https://doi.org/10.17632/j7bbrmmn4k.1
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-ea-u0vo
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:264335
Provenance
Creator Gabdullin, N
Publisher Data Archiving and Networked Services (DANS)
Contributor Nikita Gabdullin
Publication Year 2020
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other