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 Fernández Cavero, Vanesa
A1 García Escudero, Luis Ángel
A1 Pons Llinares, Joan
A1 Fernández Temprano, Miguel Alejandro
A1 Duque Pérez, Óscar
A1 Morinigo Sotelo, Daniel
K1 Induction motors
K1 Transient analysis
K1 Fault diagnosis
K1 Functional ANOVA
K1 Electrotecnia
K1 Electrical engineering
K1 Ingeniería mecánica
K1 Mechanical engineering
AB A proper diagnosis of the state of an induction motor is of great interest to industry given the great importance of the extended use of this motor. Presently, the use of this motor driven by a frequency converter is very widespread. However, operation by means of an inverter introduces certain difficulties for a correct diagnosis, which results in a signal with higher harmonic content and noise level, which makes it difficult to perform a correct diagnosis. To solve these problems, this article proposes the use of a time-frequency technique known as Dragon Transform together with the functional ANOVA statistical technique to carry out a proper diagnosis of the state of the motor by working directly with the curves obtained from the application of the transform. A case study is presented showing the good results obtained by applying the methodology in which the state of the rotor bars of an inverter-fed motor is diagnosed considering three failure states and operating at different load levels.
PB MDPI
YR 2021
FD 2021-04
LK http://hdl.handle.net/10259/9937
UL http://hdl.handle.net/10259/9937
LA eng
NO This research has been partially funded by the University of Valladolid.
DS Repositorio Institucional de la Universidad de Burgos
RD 21-ene-2025