Abstract
Air gap eccentricity faults in five-phase ferrite-assisted synchronous reluctance motors (fPMa-SynRMs) tend to distort the magnetic flux in the air gap, which in turn affects the spectral content of both the stator currents and the ZSVC (zero-sequence voltage component). However, there is a lack of research dealing with the topic of fault diagnosis in multi-phase PMa-SynRMs, and in particular, those focused on detecting eccentricity faults. An analysis of the spectral components of the line currents and the ZSVC allows the development of fault diagnosis algorithms to detect eccentricity faults. The effect of the operating conditions is also analyzed, since this paper shows that it has a non-negligible impact on the effectivity and sensitivity of the diagnosis based on an analysis of the stator currents and the ZSVC. To this end, different operating conditions are analyzed. The paper also evaluates the influence of the operating conditions on the harmonic content of the line currents and the ZSVC, and determines the most suitable operating conditions to enhance the sensitivity of the analyzed methods. Finally, fault indicators employed to detect eccentricity faults, which are based on the spectral content of the stator currents and the ZSVC, are derived and their performance is assessed. The approach presented in this work may be useful for developing fault diagnosis strategies based on the acquisition and subsequent analysis and interpretation of the spectral content of the line currents and the ZSVC.
Highlights
In recent years, SynRMs have become popular because of the volatility of the rare-earth PM price, concerns about the risk of supply [1], or the demand of highly-efficient machines
MCSA is a widely applied technique [15,16,17] based on the monitoring of the spectral content of the line currents of the motor when operating under a steady-state condition, so it assumes that any change in the representative harmonic components is due to the presence of air gap eccentricity [18]
This paper has analyzed the impact of the operating conditions employed to detect air gap asymmetry faults in fPMa-SynRMs by analyzing the spectral content of the stator currents and the ZSVC, since such faults leave a mark on their respective spectral content
Summary
SynRMs (synchronous reluctance machines) have become popular because of the volatility of the rare-earth PM (permanent magnet) price, concerns about the risk of supply [1], or the demand of highly-efficient machines. Air gap fluctuations modify motor inductances and the stator current harmonics [10,11], which can be used to apply a noninvasive fault detection approach [11]. MCSA is a widely applied technique [15,16,17] based on the monitoring of the spectral content of the line currents of the motor when operating under a steady-state condition, so it assumes that any change in the representative harmonic components is due to the presence of air gap eccentricity [18]. This work focuses on an analysis of the spectral content of both the line currents and the ZSVC in five-phase fPMa-SynRMs under the effects of air gap asymmetries, which permits the application of a straightforward on-line fault diagnosis strategy. Detection of Air Gap Eccentricity Faults in PMa-SynRM from the Stator Currents Spectrum
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