Stator fault detection of doubly-fed induction generators using rotor instantaneous power spectrum

Extended Park's vector method in early inter‐turn short circuit fault detection for the stator windings of offshore wind doubly‐fed induction generators

“…Based on 3 s/2 s transformation, the ellipse trajectory can be obtained, as shown in Fig. 2b [11]. In Fig.…”

“…The existing wind turbine fault identification methods can be divided into three types: the traditional classical methods, mathematical methods and the intelligent methods [7]. For example, spectrum analysis methods of the stator current [8,9], spectrum analysis methods of the instantaneous power [10,11], and spectrum analysis methods of the Park's vector mode [12,13]. In these methods, the fault features based on the stator current as the fault detection signal have been widely applied.…”

“…Drif et al [10] proposed a new on-line diagnostic scheme based on the use of the stator instantaneous complex apparent impedance signature analysis for stator winding inter-turn short-circuit faults diagnosis. Ma et al [11] selected the amplitude of a twice fundamental frequency component of the single-phase rotor's instantaneous power as the fault feature. Cruz and Cardoso [12] and Sarkar et al [13] proposed an extended Park's vector method and selected the twice fundamental frequency component of the Park's vector module to realise early fault detection of the inter-turn short circuit fault in stator windings.…”

Fault Diagnosis Based on an Approach Combining a Spectrogram and a Convolutional Neural Network with Application to a Wind Turbine System

“…In 2014, reference [9] proposed a new online approach based on the instantaneous power spectrum of the rotor to detect doubly fed induction generator stator winding faults. A theoretical analysis showed that, compared with the common current and voltage spectrum analysis methods, the instantaneous power spectrum has an advantage insofar as external sensors and hardware devices are not needed.…”

Stator Electrical Fault Detection in DFIGs Using Wide-Band Analysis of the Embedded Signals From the Controllers

“…A number of controller signals such as the stator reactive power [21,22], rotor modulating signals [23,7,16], rotor voltages [24], rotor-voltage space vectors [25], rotor currents [7,18,26], rotor current space vectors [7], rotor instantaneous power spectrum [21,27], and the dq-axis rotor currents [20] have been used for SEA detection for conventional and DFIG drives. However, the literature has presented the fault detection potential of only the fundamental SEA related frequency component; the wide-band SEA related frequency components in the spectra of the controller signals, which carry significant fault detection potential, were not included.…”