Integrated diagnostic system for winding fault detection of the three-phase PMSM

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F20%3APU137431" target="_blank" >RIV/00216305:26620/20:PU137431 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9222438" target="_blank" >https://ieeexplore.ieee.org/document/9222438</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICUMT51630.2020.9222438" target="_blank" >10.1109/ICUMT51630.2020.9222438</a>

Result language
angličtina
Original language name
Integrated diagnostic system for winding fault detection of the three-phase PMSM
Original language description
This paper deals with the detection of the winding faults of the three-phase PMSM. The algorithm based on the three-phase model of the winding and the extended Kalman filter is used for inter-turn short detection. Additionally, the functionality of the sensors used for the detection algorithms is verified. The decision system is in charge of the diagnosis of the fault (winding/sensors). All the presented algorithms were implemented in Simulink and tested on data measured on a real inverter with the motor connected to the dynamometer. Algorithms were also tested on a microcontroller.
Czech name
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Czech description
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Project
<a href="/en/project/LQ1601" target="_blank" >LQ1601: CEITEC 2020</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
ISBN
978-1-7281-9281-9
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
33-40
Publisher name
IEEE
Place of publication
Brno
Event location
Online
Event date
Oct 5, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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