Diagnosis by Fault Signature Analysis Applied to Wind Energy

Historically, man has needed energy to feed, to move ... It comes in several forms. Today, technology allows its production in large quantities, using all possible resources (fossil, water, wind, sun ...). In the twenty-first century, energy remains a major challenge in several fields: political, economic, scientific and environmental. In this context, the present paper introduces a method to develop renewable energy and especially wind power by detecting, localizing and identifying gross errors in the Doubly Fed Induction Generator (D.F.I.G) of a wind turbine. An experimental benchmark emulating the working of this last is used to validate the technique. This approach is dedicated, in general, to linear dynamic systems. It is based on fault signature analysis. A technique presented in a previous article which uses dynamic reconciliation by polynomial approximation will be compared to the current method.