Low Order PWM Inverter Harmonics Contributions to the Inverter-Fed Induction Machine Fault Diagnosis

Akin, Bilal; Orguner, Umut; Toliyat, H.A.; Rayner, M.

doi:10.1109/tie.2007.911954

Cited by 130 publications

(56 citation statements)

References 22 publications

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“…The stator current signal is analysed & decomposed using symlet wavelet at the 6 th level of decomposition. The figure (7) (9) shows stator current signal for the unhealthy induction motor drive. It can be clearly seen that by using wavelet transform the exact location & frequency of the signal can be detected at the exact instant where the actual discontinuity takes place which also helps in specifying the fault type.…”

Section: Simulation Resultsmentioning

confidence: 99%

Fault Detection in an Induction Motor Drive Using Discrete Wavelet Packet Transform

Mathew¹

2017

IOSR JEEE

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Section: Simulation Resultsmentioning

confidence: 99%

Fault Detection in an Induction Motor Drive Using Discrete Wavelet Packet Transform

Mathew¹

2017

IOSR JEEE

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“…Depending on the sideband harmonics of the analyzed current, the type of fault can be predicted. Fast Fourier transform has been used to scan the frequencies and amplitudes, as well as the frequency spectrum, of stator line current [1][2][3][4][5][6].…”

Section: Fast Fourier Transform Methodsmentioning

confidence: 99%

“…The main types of these faults are inter-turn short circuit of stator winding, which represents about 30%, and broken bar, which represents about 10%. Finally, 10% of the faults represent external faults [4]. The main types of the electric machines faults are detected by analyzing the stator current [5,6].…”

Section: Introductionmentioning

confidence: 99%

Fault Prediction of Deep Bar Cage Rotor Induction Motor Based on Fem

Saied¹,

Ali²

2013

PIER B

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Abstract-The paper aims to investigate the use of the Finite Element Method for electrical and mechanical faults detection in three-phase squirrel cage, induction machines. The features of Finite Element Method are significant, which consider the physical mapping of stator winding and rotor bar distribution. Therefore, modeling of the faults in stator winding, rotor bars and air-gap eccentricity will be predicated in more accurate way.In comparison with conventional methods such as coupling method, the Finite Element Method considers the complex machine geometry, material type of the bar, current and the flux distributions within the electrical machines. As a result, the air-gap eccentricity and the broken bars can be modeled effectively using this approach. Motor current signature analysis has been used to give a decision about the fault occurrence. For the broken rotor bar, frequency of the sideband components around the fundamental is used to indicate the presence of fault. However, the sideband frequencies cannot be used to recognize the stator winding short circuit and eccentricities faults, where the harmonics have approximately the same frequency over the spectrum. The amplitude of the sideband harmonic components have been used to differentiate between them. It has been found that the inter-turn short circuit faults have a sideband harmonic component with amplitude greater than that in the case of the air-gap eccentricity faults. Also current paper introduces the detection of broken rotor bars based on stator current envelope technique.

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“…Like in the three-phase case, (DSIM) may be the subject of various defects like broken rotor bars [2], bearing defects [ 3], loss of phase [4], eccentricity problems [5] and stator inter-turn short circuit [6]. Rotor eccentricity is defined as a condition of the asymmetric air gap that exists between the stator and rotor.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Double Star Induction Motors with Dynamic Eccentricity

2017

Dec. 4-6, 2017 London (UK) ICEEET-2017, ICABES-2017, ICCATE-2017, ICLSSE-17 &Amp; LBMCSR-2017

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Low Order PWM Inverter Harmonics Contributions to the Inverter-Fed Induction Machine Fault Diagnosis

Cited by 130 publications

References 22 publications

Fault Detection in an Induction Motor Drive Using Discrete Wavelet Packet Transform

Fault Detection in an Induction Motor Drive Using Discrete Wavelet Packet Transform

Fault Prediction of Deep Bar Cage Rotor Induction Motor Based on Fem

Modeling of Double Star Induction Motors with Dynamic Eccentricity

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