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Efficient Residuals Pre-Processing For Diagnosing Multi-Class Faults In A Doubly Fed Induction Generator, Under Missing Data Scenarios, Roozbeh Razavi-Far, Enrico Zio, Vasile Palade

Electrical and Computer Engineering Publications

This paper focuses on the development of a pre-processing module to generate the latent residuals for sensor fault diagnosis in a doubly fed induction generator of a wind turbine. The pre-processing module bridges a gap between the residual generation and decision modules. The inputs of the pre-processing module are batches of residuals generated by a combined set of observers that are robust to operating point changes. The outputs of the pre-processing module are the latent residuals which are progressively fed into the decision module, a dynamic weighting ensemble of fault classifiers that incrementally learns the residuals-faults relationships and dynamically classifies …