RT info:eu-repo/semantics/article
T1 Reliable Detection of Rotor Bars Breakage in Induction Motors via MUSIC and ZSC
A1 Moríñigo Sotelo, Daniel
A1 Romero-Troncoso, René de Jesús
A1 Panagiotou, P. A.
A1 Antonino Daviu, Jose A.
A1 Gyftakis, K. N.
K1 Broken bar
K1 Fault diagnosis
K1 Induction motor
K1 MUSIC
K1 ZSC
AB Induction motors are used in a variety of industrial applications where frequent startup cycles are required. In those cases, it is necessary to apply sophisticated signal processing analysis methods in order to reliably follow the time evolution of the fault-related harmonics in the signal.In this paper, the zero-sequence current (ZSC) is analysed using the high-resolution spectral method of multiple signalclassification (MUSIC). The analysis of the ZSC signal has proved to have several advantages over the analysis of a single-phase current waveform. The method is validated through simulation and experimental results. The simulations are carried out for a 1.1 MW and a 4kW induction motors underfinite element analysis (FEA). Experimentation is performed on a healthy motor, a motor with one broken rotor bar, and a motor with two broken rotor bars. The analysis results are satisfactory since the proposed methodology reliably detects the broken rotor bar fault and its severity, both during transientand steady state operation of the induction motor.
PB The IEEE
SN 1939-9367
YR 2018
FD 2018
LK https://uvadoc.uva.es/handle/10324/64786
UL https://uvadoc.uva.es/handle/10324/64786
LA eng
NO IEEE Transactions on Industry Applications, vol. 54, no. 2, pp. 1224-1234, March-April 2018
DS UVaDOC
RD 01-jun-2024