Detection of broken rotor bars in induction motors using nonlinear Kalman filters

Karami, Farzaneh; Poshtan, Javad; Poshtan, Majid

doi:10.1016/j.isatra.2009.11.005

Cited by 56 publications

(28 citation statements)

References 20 publications

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“…where H Ψ and M Ψ are noted than the submatrices of the Jacobian matrix given by (11) and (12), these submatrices are determined with the state and parameter estimates.…”

Section: Adaptive Observer Design For the Triangular Formmentioning

confidence: 99%

See 1 more Smart Citation

High gain adaptive observer design for sensorless state and parameter estimation of induction motors

Maouche

M’Saad

Bensaker

et al. 2015

Int. J. Control Autom. Syst.

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This paper addresses the problem of accurately estimating the mechanical and magnetic state variables as well as the stator and rotor resistances of induction motors using only the stator current measurements and the supplied stator voltages from an appropriate nonlinear parametrization. The involved estimation is carried out by a high gain adaptive observer designed bearing in mind the available fundamental results together with the useful implementation features, namely conception simplicity and computational efficiency. An exponential convergence of the state and parameter estimation errors is established under admissible assumptions, namely the persistent excitation requirement has been particularly reduced thanks to the introduction of unknown parameter characteristic indices. The effectiveness of the adaptive observer is highlighted throughout simulation results involving a typical induction motor.

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“…where H Ψ and M Ψ are noted than the submatrices of the Jacobian matrix given by (11) and (12), these submatrices are determined with the state and parameter estimates.…”

Section: Adaptive Observer Design For the Triangular Formmentioning

confidence: 99%

“…The resulting adaptive observers have been used to design suitable diagnosis procedures as well as adaptive controllers. Three approaches have been used for adaptive observer design: The first approach is based on the extended Kalman filter which is mainly motivated by its simplicity and wide use in engineering systems [7,11,12].…”

Section: Introductionmentioning

confidence: 99%

High gain adaptive observer design for sensorless state and parameter estimation of induction motors

Maouche

M’Saad

Bensaker

et al. 2015

Int. J. Control Autom. Syst.

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show abstract

“…Because the rotor of the squirrel-cage motor has no direct electrical connection, it is difficult to detect fault of BRB directly [1][2][3][4]. In order to simplify detecting conditions and improve the precision of fault diagnosis, the common method is motor current signature analysis (MCSA) [4][5][6][7]. The MCSA technique can easily detect broken rotor bars by using only current sensors; thus noninvasive detection is achieved.…”

Section: Introductionmentioning

confidence: 99%

Fault Diagnosis of Broken Rotor Bars in Squirrel-Cage Induction Motor of Hoister Based on Duffing Oscillator and Multifractal Dimension

Zhao

Wang

Zhang

2014

Advances in Mechanical Engineering

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This paper is to propose a novel fault diagnosis method for broken rotor bars in squirrel-cage induction motor of hoister, which is based on duffing oscillator and multifractal dimension. Firstly, based on the analysis of the structure and performance of modified duffing oscillator, the end of transitional slope from chaotic area to large-scale cycle area is selected as the optimal critical threshold of duffing oscillator by bifurcation diagrams and Lyapunov exponent. Secondly, the phase transformation duffing oscillator from chaos to intermittent chaos is sensitive to the signals, whose frequency difference is quite weak from the reference signal. The spectrums of the largest Lyapunov exponents and bifurcation diagrams of the duffing oscillator are utilized to analyze the variance in different parameters of frequency. Finally, this paper is to analyze the characteristics of both single fractal (box-counting dimension) and multifractal and make a comparison between them. Multifractal detrended fluctuation analysis is applied to detect extra frequency component of current signal. Experimental results reveal that the method is effective for early detection of broken rotor bars in squirrel-cage induction motor of hoister.

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“…Using the existing observer state estimator, the implementation of a model-based fault detection scheme for induction motors can become more efficient and economical. In particular, rotor resistance is estimated and compared with its nominal value, at the same temperature and saturation conditions of the machine to detect broken bars [6]. Furthermore, the measurements obtained from stator voltages, currents and speed are processed for estimation of rotor resistance.…”

Section: Introductionmentioning

confidence: 99%

Application of Moving Horizon Parameter Estimator in Fault Diagnosis of Broken Bars in Induction Motor

Chouiref¹,

Boussaid²,

Naceur³

2012

IJCA

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The fault diagnosis and prediction of electrical machines and drives has become of importance because of its great influence on the operational continuation of many industrial processes. Correct diagnosis and early detection of incipient faults avoids harmful, sometimes devastative, consequences. In this work, on the basis of a model of an induction motor we study the approach for the detection of broken rotor bars problem using residual generators based in moving horizon estimator of the rotor resistance. Which the detection is based is that the failure events are detected by jumps in the estimated parameter values of the model. Upon breaking a bar the estimated rotor resistance is increased instantly, thus providing two values of resistance after and before bar breakage. Simulation and experimental results show the effectiveness of the proposed method for broken rotor bar detection in induction motors.

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Detection of broken rotor bars in induction motors using nonlinear Kalman filters

Cited by 56 publications

References 20 publications

High gain adaptive observer design for sensorless state and parameter estimation of induction motors

High gain adaptive observer design for sensorless state and parameter estimation of induction motors

Fault Diagnosis of Broken Rotor Bars in Squirrel-Cage Induction Motor of Hoister Based on Duffing Oscillator and Multifractal Dimension

Application of Moving Horizon Parameter Estimator in Fault Diagnosis of Broken Bars in Induction Motor

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