Andrea Stefani

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This paper introduces a new diagnostic technique for the detection of incipient electrical rotor faults in doubly fed induction Machine (DFIM) for wind power systems. In the considered application, the rotor is supplied by a static converter for the control of active and reactive power flows from the generator to the electrical grid. A new diagnostic method(More)
—Motor current signature analysis is the reference method for the diagnosis of induction machines' rotor faults; however, in time-varying conditions, it fails as slip and speed vary, and, thus, sideband components are spread in a bandwidth that is proportional to the variation. Variable speed drive applications are common in the aerospace, appliance,(More)
The paper introduces an advanced monitoring and diagnosis system for the detection of incipient electrical faults in doubly fed induction generators (DFIGs) used in wind generator systems. In this application the rotor power is supplied by a converter for the control of active and reactive power flow from the generator to the mains. The paper deals with a(More)
This paper introduces an advanced monitoring and diagnosis system for the detection of incipient electrical faults in doubly fed induction generators used in wind turbines. In this application, the rotor is supplied by a static converter for the control of active and reactive power flows from the generator to the electrical grid. A new diagnostic method(More)
For modern large wind farms, it is interesting to design an efficient diagnosis system oriented to wind turbine generators based on doubly-fed induction machine (DFIM). Intensive research effort has been focused on the signature analysis to predict or detect electrical and mechanical faults in induction machines. Different signals can be used, voltage,(More)