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Multicriteria diagnosis of synchronous machine using the welch method

Data publikacji: 16.12.2015

Czasopismo Techniczne, 2015, Elektrotechnika Zeszyt 1-E (8) 2015, s. 343 - 352

https://doi.org/10.4467/2353737XCT.15.054.3854

Autorzy

,
José Gregorio Ferreira
Faculty of Electrical and Computer Engineering, Cracow University of Technology
Wszystkie publikacje autora →
,
Tadeusz J. Sobczyk
Instytut Elektromechanicznych Przemian Energii, Wydział Inżynierii Elektrycznej i Komputerowej, Politechnika Krakowska
Wszystkie publikacje autora →
Adam Warzecha
Uniwersytet Śląski w Katowicach
ul. Bankowa 12, 40-007 Katowice, Polska
Wszystkie publikacje autora →

Tytuły

Multicriteria diagnosis of synchronous machine using the welch method

Abstrakt

This paper discusses the detection of internal faults in the stator and rotor windings of synchronous machines. Using current signature analysis, it is demonstrated how by using low cost equipment, it is possible to detect the fault by monitoring the currents. The process of detection is totally optimized, and the processing time is enough to identify the fault before the total machine damage. Using the spectrum of the healthy machine as a reference, the followed methodology allows the timely and reliable detection of faults.

Bibliografia

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Informacje

Informacje: Czasopismo Techniczne, 2015, Elektrotechnika Zeszyt 1-E (8) 2015, s. 343 - 352

Typ artykułu: Oryginalny artykuł naukowy

Tytuły:

Polski:

Multicriteria diagnosis of synchronous machine using the welch method

Angielski:

Multicriteria diagnosis of synchronous machine using the welch method

Autorzy

Faculty of Electrical and Computer Engineering, Cracow University of Technology

Instytut Elektromechanicznych Przemian Energii, Wydział Inżynierii Elektrycznej i Komputerowej, Politechnika Krakowska

Uniwersytet Śląski w Katowicach
ul. Bankowa 12, 40-007 Katowice, Polska

Publikacja: 16.12.2015

Status artykułu: Otwarte __T_UNLOCK

Licencja: Żadna

Udział procentowy autorów:

José Gregorio Ferreira (Autor) - 33%
Tadeusz J. Sobczyk (Autor) - 33%
Adam Warzecha (Autor) - 34%

Korekty artykułu:

-

Języki publikacji:

Angielski