A new method for early fault detection and diagnosis of broken rotor bars

Aydın, İlhan; Karaköse, Mehmet; Akın, Erhan

doi:10.1016/j.enconman.2010.11.018

Cited by 66 publications

(31 citation statements)

References 26 publications

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“…A successful condition-based maintenance consists of early fault detecting [1,2], faultsize assessing [3,4], and fault progression predicting [5][6][7]. The quick and accurate monitoring of the machine health condition and severity (size) of a fault during mechanical operation period is helpful to make a proper maintenance decision for rotating machinery.…”

Section: Introductionmentioning

confidence: 99%

Fault Severity Estimation of Rotating Machinery Based on Residual Signals

Jiang

Wang

et al. 2012

Advances in Mechanical Engineering

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Fault severity estimation is an important part of a condition-based maintenance system, which can monitor the performance of an operation machine and enhance its level of safety. In this paper, a novel method based on statistical property and residual signals is developed for estimating the fault severity of rotating machinery. The fast Fourier transformation (FFT) is applied to extract the so-called multifrequency-band energy (MFBE) from the vibration signals of rotating machinery with different fault severity levels in the first stage. Usually these features of the working conditions with different fault sensitivities are different. Therefore a sensitive features-selecting algorithm is defined to construct the feature matrix and calculate the statistic parameter (mean) in the second stage. In the last stage, the residual signals computed by the zero space vector are used to estimate the fault severity. Simulation and experimental results reveal that the proposed method based on statistics and residual signals is effective and feasible for estimating the severity of a rotating machine fault.

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Section: Introductionmentioning

confidence: 99%

Fault Severity Estimation of Rotating Machinery Based on Residual Signals

Jiang

Wang

et al. 2012

Advances in Mechanical Engineering

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“…In [10][11][12][13][14], the WFM is used to analyze some common faults in IMs such as broken rotor bars, cracked rotor end rings, shorting, opening, and abnormal stator winding circuit. Several methods have been also presented to develop detection of faults in IMs such as stator winding faults [15,16] and rotor bar faults [17,18]. One of the major failures in IMs is open-phase faults.…”

Section: Introductionmentioning

confidence: 99%

Modeling and rotor field-oriented control of a faulty three-phase induction motor based on GSA for tuning of PI controllers

Jannati¹,

Monadi²,

Idris³

et al. 2016

Turk J Elec Eng & Comp Sci

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This paper discusses the d-q model and winding function method (WFM) for modeling and a rotor fieldoriented control (RFOC) system for controlling a faulty three-phase induction motor (three-phase IM when one of the phases is disconnected). In the adapted scheme for controlling the faulty IM, it is necessary for the PI controller coefficients to change. For this purpose, the gravitational search algorithm (GSA) is used for tuning of PI controllers.The results show the strength and ability of the technique to improve the performance of the faulty IM control.

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“…However, the harmonic components (1 ± 2 ) are very close to the power frequency components , so it adds many difficulties to detect the components of fault feature frequency, which are prone to be submerged in the strong supply power frequency component in the FFT spectrum. To solve this problem, many researchers focused on studying the zoom-FFT, marginal spectrum [1], high-resolution spectrum [11], higher order spectral analysis [12], wavelet analysis [13,14], Kalman filters, the self-adaptive filter [1], and so forth.…”

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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A new method for early fault detection and diagnosis of broken rotor bars

Cited by 66 publications

References 26 publications

Fault Severity Estimation of Rotating Machinery Based on Residual Signals

Fault Severity Estimation of Rotating Machinery Based on Residual Signals

Modeling and rotor field-oriented control of a faulty three-phase induction motor based on GSA for tuning of PI controllers

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

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