Verification of quality rotor cages by Electromagnetic Field

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F22%3A10251019" target="_blank" >RIV/61989100:27360/22:10251019 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/22:10251019
Result on the web
<a href="https://ieeexplore.ieee.org/document/9905188" target="_blank" >https://ieeexplore.ieee.org/document/9905188</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/Diagnostika55131.2022.9905188" target="_blank" >10.1109/Diagnostika55131.2022.9905188</a>

Result language
angličtina
Original language name
Verification of quality rotor cages by Electromagnetic Field
Original language description
The paper focuses on the creation of a simulation model, describing a diagnostic method for determining the casting quality of the rotor cage of an induction motor with a squirrel rotor cage. The principles of the electromagnetic field are used for diagnostics. The simulation itself is performed in Ansys Maxwell software. In case of interruption or non-casting of the rotor bar during production to lead increase the impedance of the rotor bar and thus lead to decrease the current in the bar. This results in an unbalanced rotor field, which leads to a change in torque by one rotor revolution. The article primarily builds a model of an induction motor in 2D, with damaged rotor bars. The effect of the damage is then examined by a device that senses the induced voltage. This is then further investigated. In the future, the practical compilation of diagnostic methods is also being considered, which will be addressed in connection with a successfully tested model. Due to the fact that a method has not been yet developed that reliably detects failures of rotor bars, this paper was created. (C) 2022 IEEE.
Czech name
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Czech description
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Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2022 International Conference on Diagnostics in Electrical Engineering, Diagnostika ´22 : conference proceedings
ISBN
978-1-66548-082-6
ISSN
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e-ISSN
—
Number of pages
5
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway
Event location
Plzeň
Event date
Sep 6, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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