A Multiresolution Taylor–Kalman Approach for Broken Rotor Bar Detection in Cage Induction Motors

Guajardo, Luis Alonso Trujillo; Maldonado, Johnny Rodríguez; Moonem, M. A.; Platas-Garza, Miguel Angel

doi:10.1109/tim.2018.2795895

Cited by 58 publications

(34 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the analyzed signals could be destabilized and the effectiveness of FFT would decrease (FFT is only effective for stationary signals). Such problem has been reported in References [4][5][6][7][8]18], respectively.…”

Section: Drawbackmentioning

confidence: 74%

“…Note that a few approximations are adopted here, such as I R−BRB ≈ I L−BRB (see (3), (4) and consider s << 1), I R−LO ≈ I L−LO (see (7), (8) and consider f L << f s ), α Ψ + ϕ ≈ π/2 and α s ≈ π/2 for induction motors.…”

Section: Theoretical Basismentioning

confidence: 99%

“…It is worth mentioning that, besides ESPRIT, quite a few advanced signal-processing techniques have been adopted for improving the BRB fault detection, such as ZFFT in Reference [4], MUSIC and ZSC in Reference [5] and Taylor-Kalman filters in Reference [8]. A comprehensive review on this can be found in Reference [23].…”

Section: The Use Of Espritmentioning

confidence: 99%

“…Significant attention has been paid to the detection of broken rotor bar (BRB) faults in induction motors [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. The spectral analysis of the stator current has been widely applied to detect BRB faults [1][2][3][4][5][6][7][8]. This technique consists of monitoring of the stator current components at (1 ± 2s)f s (where s is the motor slip and f s is the supply frequency), which are related to BRB fault.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, they all suffer the intrinsic limitations of FFT: (1) it is only effective for stationary signals; (2) it requires a long acquisition time to get a high frequency-resolution (these two parameters are inversely proportional). Such problem has been widely reported and addressed [4][5][6][7][8]18]. As an example, Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) was adopted to replace FFT in References [6,7,18] for the BRB fault detection, yielding significant improvements.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

An Improved Method for Discerning Broken Rotor Bar Fault and Load Oscillation in Induction Motors

Sun

2018

Energies

View full text Add to dashboard Cite

A few methods for discerning broken rotor bar (BRB) fault and load oscillation in induction motors have been reported in the literature. However, they all perhaps inevitably fail in adverse cases in which these two phenomena are simultaneously present. To tackle this problem, an improved method for discerning BRB fault and load oscillation is proposed in this paper based on the following work. On the one hand, the theoretical basis is analytically extended to include such an adverse case, yielding some important findings on the spectra of the instantaneous reactive and active powers. A novel strategy is thus outlined to correctly discern BRB fault and load oscillation even when simultaneously present. On the other hand, Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) is adopted as the spectral analysis technique to deal with the instantaneous reactive and active powers, yielding a certain improvement compared to the existing methods, adopting Fast Fourier Transform (FFT). Simulation and experimental results demonstrate that the proposed method can correctly discern BRB fault and load oscillation even when simultaneously present.

show abstract