FAULT DIAGNOSIS OF INDUCTIRN MOTORS BY DFT AND WAVELET

摘要

A method for diagnosing fault of an induction motor is provided to finally diagnose fault of induction motor using fusion algorithm. A characteristic vector is calculated using fourier transform, linear discriminant analysis and wavelet transform from current signal value. Similarity value is calculated through distance comparison between standard model and characteristic vector calculated. Similarity value is calculated according to each fault classification. The diagnosis is performed by selecting a model having high similarity with conventional model.