Detection of the broken rotor bars of squirrel-cage induction motors based on normalized least mean square filter and Hilbert envelope analysis

Ünsal, Abdurrahman; Kabul, Ahmet

doi:10.1007/s00202-016-0366-5

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…The frequency of characteristic harmonic components of the inner-race bearing fault is calculated by (13) [31]…”

Section: Case 2: Static Eccentricity Broken Rotor Bars and Inner Race...mentioning

confidence: 99%

“…When the motor load is low, the frequencies of characteristic harmonic components of current signals generated by broken rotor bars are very close to the frequency of fundamental component with low amplitudes (and mostly overshadowed by the fundamental components) [12]. Therefore, FFT based methods are ineffective in detecting characteristic harmonic components through using stator current and vibration signals at lower motor loads [2,13]. In addition, the application of FFT based methods is limited while analysing non-stationary signals [14].…”

Section: Introductionmentioning

confidence: 99%

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Metrology and Measurement Systems

Kabul,

Ünsal

2021

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Three phase induction motors are widely used in industrial processes and condition monitoring of these motors is especially important. Broken rotor bars, eccentricity and bearing faults are the most common types of faults of induction motors. Stator current and/or vibration signals are mostly preferred for the monitoring and detection of these faults. Fourier Transform (FT) based detection methods analyse the characteristic harmonic components of stator current and vibration signals for feature extraction. Several types of simultaneous faults of induction motors may produce characteristic harmonic components at the same frequency (with varying amplitudes). Therefore, detection of multiple faults is more difficult than detection of a single fault with FT based diagnosis methods. This paper proposes an alternative approach to detect simultaneous multiple faults including broken rotor bars, static eccentricity and outer/inner-race bearing faults by analysing stator current and vibration signals. The proposed method uses Hilbert envelope analysis with a Normalized Least Mean Square (NLSM) adaptive filter. The results are experimentally verified under 25%, 50%, 75%, 100% load conditions.

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“…The frequency of characteristic harmonic components of the inner-race bearing fault is calculated by (13) [31]…”

Section: Case 2: Static Eccentricity Broken Rotor Bars and Inner Race...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Metrology and Measurement Systems

Kabul,

Ünsal

2021

View full text Add to dashboard Cite

show abstract

“…El análisis de la señal analítica se puede realizar con la transformada integral de Hilbert (HT). Esta técnica permite mitigar el efecto de fuga espectral y por tanto ser utilizada en la detección de fallos en MI ante condiciones de bajo deslizamiento [1,83,84]. La señal analítica ( x(t)) es una señal compleja cuya parte real es la señal original (x(t)) y la imaginaria es la HT (2.22) de la señal original (HT (x(t))) [85] (Fig.…”

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