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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...
For modern large wind farms, it is more and more interesting to design an efficient diagnostics system oriented to wind turbine generators based on doubly-fed induction machine (DFIM). In this paper, a complete system will be analyzed by suitable simulations to deeply study fault influence and to identify the best diagnostic procedure to perform predictive maintenance. All the research efforts have...
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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