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Bearing fault detection in wind turbines using dominant intrinsic mode function subtraction | IEEE Conference Publication | IEEE Xplore

Bearing fault detection in wind turbines using dominant intrinsic mode function subtraction


Abstract:

This paper deals with a fault detection method based on an empirically data-driven approach combined to a statistical tool. This approach is an enhanced version of the em...Show More

Abstract:

This paper deals with a fault detection method based on an empirically data-driven approach combined to a statistical tool. This approach is an enhanced version of the empirical mode decomposition. The proposed fault detector application to bearing defects in wind turbine based on induction generator clearly shows that it is well suited for stationary and non-stationary behavior regardless the rank of the intrinsic mode function introduced by the fault.
Date of Conference: 23-26 October 2016
Date Added to IEEE Xplore: 22 December 2016
ISBN Information:
Conference Location: Florence, Italy

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