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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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