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Automatic Pattern Identification Based on the Complex Empirical Mode Decomposition of the Startup Current for the Diagnosis of Rotor Asymmetries in Asynchronous Machines.

George K. GeorgoulasIoannis P. TsoumasJose Alfonso Antonino-DaviuVicente Climente-AlarconChrysostomos D. StyliosEpaminondas D. MitronikasAthanasios N. Safacas
Published in: IEEE Trans. Ind. Electron. (2014)
Keyphrases
  • empirical mode decomposition
  • fault diagnosis
  • non stationary
  • stock market prediction
  • signal analysis
  • hilbert huang transform
  • neural network
  • feature extraction
  • natural images