What stator current processing-based technique to use for induction motor rotor faults diagnosis?
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Citations
Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review
Advances in Diagnostic Techniques for Induction Machines
Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring
A Survey on Testing and Monitoring Methods for Stator Insulation Systems of Low-Voltage Induction Machines Focusing on Turn Insulation Problems
A Brief Status on Condition Monitoring and Fault Diagnosis in Wind Energy Conversion Systems
References
A review of induction motors signature analysis as a medium for faults detection
A review of induction motors signature analysis as a medium for faults detection
Application of wavelets to gearbox vibration signals for fault detection
Related Papers (5)
Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review
Frequently Asked Questions (13)
Q2. What is the main drawback of the wavelet transform?
Wavelet analysis allows the use of long time intervals where the authors want more precise low frequency information, and shorter regions where the authors want high frequency information.
Q3. What is the advantage of window weighting?
Window weighting allows mitigation of the effects of side lobes at the expense of decreasing the spectral resolution that can be no better than the inverse of acquisition time.
Q4. What are the principal components of the stator current spectrum?
The two principal spectral components of the stator current spectrum are the first and the fifth harmonics (50 Hz - 250 Hz) for a healthy motor, and the first and third harmonics (50 Hz - 150 Hz) for a stator voltage unbalance.
Q5. What is the way to analyze a nonstationary signal?
In recent years, advancement of statistical signal processing methods has provided efficient and optimal tools to process nonstationary signals.
Q6. What is the main drawback of the STFT?
The STFT represents a sort of compromise between time and frequency based views of a signal and it provides some information about both.
Q7. What is the way to analyze nonstationary signals?
In particular, time-frequency and time-scale transformations provide an optimal mathematical framework for the analysis of time-varying, nonstationary signals [19].
Q8. What is the radian frequency of the line current?
tcoscostcos tcos IMV tptp oscosc osc LLL 6 2 6 2 6 2 20 (8)Where p is the instantaneous power, M is the modulation index, VLL is the rms value of the line-to-line voltage, and IL is that of the line current, while and denote the supply radian frequency and motor load angle, respectively, and osc is the radian oscillation frequency.
Q9. What is the effect of the machine rotation on the bispectrum magnitude of the dominant component?
In fact, experimental results indicate that the bispectrum magnitude of the dominant component, caused by the machine rotation, increased with the fault level increase.
Q10. What causes the machine to vary in the airgap?
The mechanical displacement resulting from damaged bearings causes the machine airgap to vary in a manner that can be described by a combination of rotatingeccentricities moving in both directions.
Q11. What is the spectrum of the Park’s vector modulus?
In these conditions, it can be shown that the spectrum of the stator current Park’s vector modulus is the sum of a dc level, generated mainly by the fundamental component of the induction motor supply current, plus two additional terms, at frequencies of 2sfs and 4sfs.
Q12. What is the main advantage of wavelets?
From these discussions, it appears that, for the most difficult cases, timefrequency and time-scale transformations, such as wavelets, provide a more optimal tool for the detection and the diagnosis of faulty induction motor rotors.
Q13. What is the main drawback of the power spectrum?
even though the power spectrum is particularly adapted to mechanical abnormality detection (worn or damaged bearing), it still has the same principal drawback as the classical motor current FFT (nonstationary signal).