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Rotor fault diagnosis techniques developed for induction machines (IMs) are classically based on current spectral analysis (CSA). For the case of rotor asymmetry in Wound-Rotor Induction Machine (WRIM), the magnitude of the negative sequence component at -sf of the rotor current space-vector is commonly monitored in order to quantify its contribution. Nevertheless, CSA still has some limitations....
Nowadays Permanent Magnet Synchronous Motor (PMSM) are an attractive alternative to induction machines for a variety of applications due to their higher efficiency, power density and wide constant power speed range. In this context the condition monitoring of magnets status is receiving more and more attention since is critical for industrial applications. This paper presents a characterization of...
Diagnostic techniques of electrical faults for induction machines are usually based on spectral analysis of stator currents. Hence large time acquisition period are mandatory in order to achieve high frequency resolution. Moreover, a sharp knowledge of supply frequency and slip are required in order to monitor the spectrum lines specifically linked to electrical faults. Several research activities...
Intensive research efforts have been focused on the signature analysis (SA) to detect electrical and mechanical faults of induction machines. Different signals can be used: voltage, current, flux and power. In the case of current signals (CSA), the interpretation of one-phase current spectrum or the three-phase current space vector spectrum provides direct information on the presence of abnormal conditions...
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