Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/8662
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mati D. | en |
dc.contributor.author | Kanovi Z. | en |
dc.contributor.author | Kuli F. | en |
dc.contributor.author | Relji D. | en |
dc.contributor.author | Oros, Đura | en |
dc.contributor.author | Vasi V. | en |
dc.date.accessioned | 2019-09-30T09:10:16Z | - |
dc.date.available | 2019-09-30T09:10:16Z | - |
dc.date.issued | 2013-09-23 | en |
dc.identifier.issn | 00135852 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/8662 | - |
dc.description.abstract | The paper presents a case study results emoting detection for a broken bar in an induction motor thermal power-plant. Two identical 3.15 MW motors are analyzed. The malfunctioning motor suffers from increased vibrations. A fault on the rotor is suspected. The induction motor phase current is analyzed for the healthy and the malfunctioning motor. The feature extraction is based on transient and steady state analysis. The Fourier, Hilbert and Wavelet transforms are used. Because of the operational setting shaft-load is low. It is shown that a broken bar of a high-voltage high-power induction motor can be reliable detected by using state-of-the-arte digital signal processing techniques. | en |
dc.relation.ispartof | Elektrotehniski Vestnik/Electrotechnical Review | en |
dc.title | Induction motor broken bar detection for a thermal power-plant application. A case study | en |
dc.type | Journal/Magazine Article | en |
dc.identifier.scopus | 2-s2.0-84884240614 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84884240614 | en |
dc.relation.lastpage | 49 | en |
dc.relation.firstpage | 45 | en |
dc.relation.issue | 1-2 | en |
dc.relation.volume | 80 | en |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | FTN Publikacije/Publications |
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