Inverse Thermal Modeling to Determine Power Losses in Induction Motor

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Nair, Devi Geetha Arkkio, Antero 2017-05-03T11:27:03Z 2017-05-03T11:27:03Z 2017-06
dc.identifier.citation Nair , D G & Arkkio , A 2017 , ' Inverse Thermal Modelling to Determine Power Losses in Induction Motor ' IEEE Transactions on Magnetics . DOI: 10.1109/TMAG.2017.2661381 en
dc.identifier.issn 0018-9464
dc.identifier.issn 1941-0069
dc.identifier.other PURE UUID: 1ea6dcee-f063-48ba-a248-8407bfc81a5a
dc.identifier.other PURE ITEMURL:
dc.identifier.other PURE FILEURL:
dc.description.abstract An electrical motor’s inverse thermal model formulates the precision with which its power losses can be predicted from noisy local temperature measurements. This paper proposes constrained linear least square optimisation followed by noise smoothing as a method to accurately predict a 37 kW induction motor’s power loss components. The anisotropic heat transfer and complex geometry of the motor is represented well by the motor’s lumped thermal network and 3D finite element models which characterise its intrinsic heat transfer processes. With the inverse solution method, satisfactory temperature to power inverse mapping was achieved for different sets of noisy temperature inputs simulated from analytical and numerical forward solutions. The paper demonstrates that even with measurement noise in input data, if reliable information about the expected response of the system is available, an accurate reconstruction of power losses can be achieved. en
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries IEEE Transactions on Magnetics en
dc.rights openAccess en
dc.subject.other 213 Electronic, automation and communications engineering, electronics en
dc.subject.other 113 Computer and information sciences en
dc.title Inverse Thermal Modeling to Determine Power Losses in Induction Motor en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Electrical Engineering and Automation
dc.subject.keyword Heat Transfer
dc.subject.keyword Induction motors
dc.subject.keyword Thermal inverse problems
dc.subject.keyword 213 Electronic, automation and communications engineering, electronics
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201705033730
dc.identifier.doi 10.1109/TMAG.2017.2661381
dc.type.version acceptedVersion

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