Szczegóły publikacji
Opis bibliograficzny
Diagnostics of induction motor based on spectral analysis of stator current with application of backpropagation neural network — Diagnostyka silnika indukcyjnego oparta na analizie prądu stojana z zastosowaniem sieci neuronowej z algorytmem wstecznej propagacji błędów / W. GŁOWACZ // Archives of Metallurgy and Materials / Polish Academy of Sciences. Committee of Metallurgy. Institute of Metallurgy and Materials Science ; ISSN 1733-3490. — 2013 — vol. 58 iss. 2, s. 559–562. — Bibliogr. s. 562
Autor
Słowa kluczowe
Dane bibliometryczne
ID BaDAP | 76867 |
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Data dodania do BaDAP | 2013-10-21 |
DOI | 10.2478/amm-2013-0037 |
Rok publikacji | 2013 |
Typ publikacji | artykuł w czasopiśmie |
Otwarty dostęp | |
Czasopismo/seria | Archives of Metallurgy and Materials |
Abstract
Nowadays PC computers make possible the signal characteristics by calculation. The paper presents an automatic computerized system for the diagnosis of the rotor bars of the induction motor by applying spectral analysis and backpropagation neural network. Software to recognize the current of induction motor was implemented. System of current recognition is based on a study of the frequency spectrum of stator current. The studies were conducted for two conditions of induction motor. The results of the numerical experiments are presented and discussed in the paper. The researches show that the system can be useful for protection of the engines and metallurgical equipment.