RT info:eu-repo/semantics/article
T1 Diagnosis of Broken Rotor Bars during the Startup of Inverter-Fed Induction Motors Using the Dragon Transform and Functional ANOVA
A1 Fernandez-Cavero, Vanesa
A1 García Escudero, Luis Ángel
A1 Pons-Llinares, Joan
A1 Fernández Temprano, Miguel Alejandro
A1 Duque Pérez, Óscar
A1 Moríñigo Sotelo, Daniel
K1 induction motors
K1 transient analysis
K1 fault diagnosis
K1 functional ANOVA
AB A proper diagnosis of the state of an induction motor is of great interest to industry giventhe great importance of the extended use of this motor. Presently, the use of this motor driven bya frequency converter is very widespread. However, operation by means of an inverter introducescertain difficulties for a correct diagnosis, which results in a signal with higher harmonic content andnoise level, which makes it difficult to perform a correct diagnosis. To solve these problems, thisarticle proposes the use of a time-frequency technique known as Dragon Transform together withthe functional ANOVA statistical technique to carry out a proper diagnosis of the state of the motorby working directly with the curves obtained from the application of the transform. A case studyis presented showing the good results obtained by applying the methodology in which the state ofthe rotor bars of an inverter-fed motor is diagnosed considering three failure states and operating atdifferent load levels.
PB MDPI
YR 2021
FD 2021
LK https://uvadoc.uva.es/handle/10324/65692
UL https://uvadoc.uva.es/handle/10324/65692
LA spa
NO Applied Sciences (2021), 11, 3769, p. 1-12.
DS UVaDOC
RD 22-dic-2024