Rotor unbalance and broken rotor bar detection in inverter-fed induction motors at start-up and steady-state regimes by high-resolution spectral analysis

2016 ◽  
Vol 133 ◽  
pp. 142-148 ◽  
Author(s):  
R.J. Romero-Troncoso ◽  
A. Garcia-Perez ◽  
D. Morinigo-Sotelo ◽  
O. Duque-Perez ◽  
R.A. Osornio-Rios ◽  
...  
Author(s):  
R. J. Romero-Troncoso ◽  
D. Morinigo-Sotelo ◽  
O. Duque-Perez ◽  
R. A. Osornio-Rios ◽  
M. A. Ibarra-Manzano ◽  
...  

2017 ◽  
Vol 28 (7) ◽  
pp. 075001 ◽  
Author(s):  
Juan P Amezquita-Sanchez ◽  
Martin Valtierra-Rodriguez ◽  
Carlos A Perez-Ramirez ◽  
David Camarena-Martinez ◽  
Arturo Garcia-Perez ◽  
...  

Author(s):  
Arturo Garcia-Perez ◽  
Rene J. Romero-Troncoso ◽  
Eduardo Cabal-Yepez ◽  
Roque A. Osornio-Rios ◽  
Jose de Jesus Rangel-Magdaleno ◽  
...  

2021 ◽  
Author(s):  
Serafin Tierrafria-Baez ◽  
Priscila M. Calderon-Lopez ◽  
Victor Cano-Valdez ◽  
Brayan K. Aviles-Diaz ◽  
Carlos Rodriguez-Donate ◽  
...  

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3130 ◽  
Author(s):  
Liling Sun ◽  
Boqiang Xu

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.


2017 ◽  
Vol 152 ◽  
pp. 18-26 ◽  
Author(s):  
I. Martin-Diaz ◽  
D. Morinigo-Sotelo ◽  
O. Duque-Perez ◽  
P.A. Arredondo-Delgado ◽  
D. Camarena-Martinez ◽  
...  

2011 ◽  
Vol 58 (5) ◽  
pp. 2002-2010 ◽  
Author(s):  
Arturo Garcia-Perez ◽  
Rene de Jesus Romero-Troncoso ◽  
Eduardo Cabal-Yepez ◽  
Roque Alfredo Osornio-Rios

2011 ◽  
Vol 18 (11) ◽  
pp. 1585-1594 ◽  
Author(s):  
Arturo Garcia-Perez ◽  
Rene J Romero-Troncoso ◽  
Eduardo Cabal-Yepez ◽  
Roque A Osornio-Rios ◽  
Jose A Lucio-Martinez

Induction motors are critical components for most industries. Induction motor failures may yield an unexpected interruption at the industry plant. Several conventional vibration and current analysis techniques exist by which certain faults in rotating machinery can be identified. Ever since the first motor was built, plant personnel have listened to the noises emanating from machines; with enough experience, a listener may make a fairly accurate estimate of the condition of a machine. Although there are several works that deal with vibration and current analysis for monitoring and detection of faults in induction motors, the analysis of sound signals has not been sufficiently explored as an alternative non-invasive monitoring technique. The contribution of this investigation is the development of a condition monitoring strategy than can make a reliable assessment of the presence of specific fault condition in an induction motor with a single fault present through the analysis of a sound signal. The proposed methodology is based on the multiple-signal classification algorithm for high-resolution spectral analysis. Results show that the proposed methodology of sound analysis could improve standard techniques for induction motor fault detection, enhancing detectability.


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