Induction machine diagnosis using stator current and magnetic field analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F09%3APU82912" target="_blank" >RIV/00216305:26220/09:PU82912 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Induction machine diagnosis using stator current and magnetic field analysis
Original language description
Fault diagnosis is currently a target of wide research activities. There is large number of diagnostic methods based on various source of diagnostic signal, signal processing and data evaluation approach. Stator current is traditional diagnostic signal for fault detection of induction machines. Monitoring of this signal is mainly effective in case of diagnosis of broken rotor bars and rings. However, analysis of external magnetic field appears to be more powerful in case of rotor eccentricity detection.The measurement system based on LabVIEW platform is now presented and it includes both stator current and external magnetic field analysis.
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/GP102%2F08%2FP562" target="_blank" >GP102/08/P562: Fault diagnostics of the induction motor carried out by the external magnetic field and the motor current analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Zeszyty Problemowe - Maszyny Elektryczne
ISSN
0239-3646
e-ISSN
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Volume of the periodical
2009
Issue of the periodical within the volume
82
Country of publishing house
PL - POLAND
Number of pages
2
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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