RT info:eu-repo/semantics/article
T1 Early Detection of Broken Rotor Bars in Inverter-Fed Induction Motors Using Speed Analysis of Startup Transients
A1 García Calva, Tomás Alberto
A1 Moríñigo Sotelo, Daniel
A1 Fernández Cavero, Vanessa
A1 Garcia Perez, Arturo
A1 Romero Troncoso, René de Jesús
K1 Motor de inducción
K1 Fault detection
K1 Fault diagnosis
K1 Frequency analysis
K1 Induction motors
K1 Rotating machines
K1 Signal processing
K1 Spectral analysis
K1 Time-frequency decompositions
K1 3306.03 Motores Eléctricos
AB The fault diagnosis of electrical machines during startup transients has received increasing attention regarding the possibility of detecting faults early. Induction motors are no exception, and motor current signature analysis has become one of the most popular techniques for determining the condition of various motor components. However, in the case of inverter powered systems, the condition of a motor is difficult to determine from the stator current because fault signatures could overlap with other signatures produced by the inverter, low-slip operation, load oscillations, and other non-stationary conditions. This paper presents a speed signature analysis methodology for a reliable broken rotor bar diagnosis in inverter-fed induction motors. The proposed fault detection is based on tracking the speed fault signature in the time-frequency domain. As a result, different fault severity levels and load oscillations can be identified. The promising results show that this technique can be a good complement to the classic analysis of current signature analysis and reveals a high potential to overcome some of its drawbacks.
PB MDPI
SN 1996-1073
YR 2021
FD 2021
LK http://uvadoc.uva.es/handle/10324/45567
UL http://uvadoc.uva.es/handle/10324/45567
LA eng
NO Energies, March, 2021, vol. 14, n.5, p. 1469
NO Producción Científica
DS UVaDOC
RD 19-sep-2024