Diagnosis Techniques for Electrical Machines: State of the Art
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F22%3A43965258" target="_blank" >RIV/49777513:23220/22:43965258 - isvavai.cz</a>
Výsledek na webu
<a href="http://partnerstvi.fel.zcu.cz/vysledky/" target="_blank" >http://partnerstvi.fel.zcu.cz/vysledky/</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Diagnosis Techniques for Electrical Machines: State of the Art
Popis výsledku v původním jazyce
Recently, research has picked up a fervent pace in the area of fault diagnosis of electrical machines. The manufacturers and users of these drives are now keen to include diagnosis features in the software to improve saleability and reliability. This paper investigates diagnosis techniques for electrical machines with special reference to induction machines (IM), permanent magnet synchronous machines (PMSM) and externally excited synchronous machines (EESM). Hence, keeping in mind the need for future research, this review paper presents a bird’s eye view on different types of electrical machines faults and their diagnostics schemes. Such a review helps to avoid repetition of past work and gives a bird’s eye view to a new researcher in this area. The analyzed contributions were published in most relevant journals and magazines or presented in either specific conferences
Název v anglickém jazyce
Diagnosis Techniques for Electrical Machines: State of the Art
Popis výsledku anglicky
Recently, research has picked up a fervent pace in the area of fault diagnosis of electrical machines. The manufacturers and users of these drives are now keen to include diagnosis features in the software to improve saleability and reliability. This paper investigates diagnosis techniques for electrical machines with special reference to induction machines (IM), permanent magnet synchronous machines (PMSM) and externally excited synchronous machines (EESM). Hence, keeping in mind the need for future research, this review paper presents a bird’s eye view on different types of electrical machines faults and their diagnostics schemes. Such a review helps to avoid repetition of past work and gives a bird’s eye view to a new researcher in this area. The analyzed contributions were published in most relevant journals and magazines or presented in either specific conferences
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů