Bearing Fault Detection in DFIG-Based Wind Turbines Using the First Intrinsic Mode Function

For the remaining applications, i.e., heartwall, pathfinder, srad, particlefilter, nw and kmeans, the silentness percentages of identified silent stores vary from 1 % to 100 %.

In this paper, we present the monitoring strategy of short-circuit fault between turns of the stator windings and open stator phases in doubly-fed induction generator by fuzzy

In the second part of this work we have assembled feasibility to monitoring and detecting the stator short-circuit fault between turns in a DFIG and open stator phases by

The linear method performances are unsteady as the criterion fluctuates a lot (figure 5) and the most relevant frequency oscillates from one recording to another (figure 7), that may

have proposed a new model for bearing fault detection using stator currents, which shows that such faults produce very small amplitude and frequency modulations of the stator

Abstract –This research note deals with grid fault-tolerance of a doubly-fed induction generator- based wind turbine using high-order sliding mode control.. Indeed, it is

Simulations using the NREL FAST code on a 1.5-MW wind turbine are carried-out to evaluate ride-through performance of the proposed high-order sliding mode control strategy in case

The carried out experiments on a 1.1-kW induction generator based test bench have proved that a technique based on variance and energy analysis of wavelet decomposition