Diagnostics of Interturn Short Circuits in PMSMs With Online Fault Indicators Estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F24%3APU151025" target="_blank" >RIV/00216305:26620/24:PU151025 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10449893" target="_blank" >https://ieeexplore.ieee.org/document/10449893</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TIE.2024.3363775" target="_blank" >10.1109/TIE.2024.3363775</a>
Alternative languages
Result language
angličtina
Original language name
Diagnostics of Interturn Short Circuits in PMSMs With Online Fault Indicators Estimation
Original language description
This article presents novel model-based diagnostics of interturn short circuits in permanent magnet synchronous machines that enable estimating fault location and its severity, even during transients. The proposed method utilizes recursive parametric estimation and model comparison approaches cast in a decision-making framework to track motor parameters and fault indicators from a machine's discrete-time model. The discrete-time prototype is derived from an advanced motor model that reflects the stator winding arrangement in a motor's case. The fault detection is then performed by tracking the changes in the estimated probability density function of the electrical parameters, using the Kullback-Leibler divergence. The fault location is subsequently evaluated by performing a recursive comparison of the predefined fault models in the different phases, utilizing a growing-window approach. Ultimately, a parametric estimation algorithm applied to the fault current model allows identifying the fault severity. The diagnostic algorithm has been validated via laboratory experiments, and its capabilities are compared with other approaches enabling severity estimation.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Industrial Electronics
ISSN
0278-0046
e-ISSN
1557-9948
Volume of the periodical
71
Issue of the periodical within the volume
11
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
15001-15011
UT code for WoS article
001181523500001
EID of the result in the Scopus database
2-s2.0-85186978267