Wind Turbine Bearing Failure Detection Using Generator Stator Current Homopolar Component Ensemble Empirical Mode Decomposition

Yassine Amirat (1) , Vincent V. Choqueuse (1) , Mohamed Benbouzid (1)

1 LBMS - Laboratoire brestois de mécanique et des systèmes

Failure detection has always been a demanding task in the electrical machines community; it has become more challenging in wind energy conversion systems because sustainability and viability of wind farms are highly dependent on the reduction of the operational and maintenance costs. Indeed the most efficient way of reducing these costs would be to continuously monitor the condition of these systems. This allows for early detection of the generator health degeneration, facilitating a proactive response, minimizing downtime, and maximizing productivity. This paper provides then an assessment of a failure detection techniques based on the homo polar component of the generator stator current and attempts to highlight the use of the Ensemble Empirical Mode Decomposition (EEMD) as a tool for failure detection in wind turbine generators for stationary and non stationary cases.

Mots clés: Wind turbine; induction generator; bearing failure; ensemble empirical mode decomposition; stator current; homo polar component

Domaines: Energie électrique

Yassine Amirat, Vincent V. Choqueuse, Mohamed Benbouzid. Wind Turbine Bearing Failure Detection Using Generator Stator Current Homopolar Component Ensemble Empirical Mode Decomposition. IEEE IECON, Oct 2012, Montreal, Canada. pp.3937-3942. ⟨hal-00768836⟩