Induction Motor Diagnosis by Advanced Notch FIR Filters and the Wigner-Ville Distribution
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F14%3A00213385" target="_blank" >RIV/68407700:21260/14:00213385 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6642083" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6642083</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TIE.2013.2286581" target="_blank" >10.1109/TIE.2013.2286581</a>
Alternative languages
Result language
angličtina
Original language name
Induction Motor Diagnosis by Advanced Notch FIR Filters and the Wigner-Ville Distribution
Original language description
During the last years, several time-frequency decomposition tools have been applied for the diagnosis of induction motors, for those cases in which the traditional procedures, such as motor current signature analysis, cannot yield the necessary response.Among them, the Cohen distributions have been widely selected to study transient and even stationary operation due to their high-resolution and detailed information provided at all frequencies. Their main drawback, the cross-terms, has been tackled either modifying the distribution, or carrying out a pretreatment of the signal before computing its time-frequency decomposition. In this paper, a filtering process is proposed that uses advanced notch filters in order to remove constant frequency components present in the current of an induction motor, prior to the computation of its distribution, to study rotor asymmetries and mixed eccentricities. In transient operation of machines directly connected to the grid, this procedure effective
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP102%2F11%2F1795" target="_blank" >GAP102/11/1795: Novel selective transforms for non-stationary signal processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
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
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Volume of the periodical
66
Issue of the periodical within the volume
8
Country of publishing house
FR - FRANCE
Number of pages
11
Pages from-to
4217-4227
UT code for WoS article
000331791100041
EID of the result in the Scopus database
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