A Combination of Fourier Transform and Machine Learning for Fault Detection and Diagnosis of Induction Motors.
Van Duc NguyenEwout ZwanenburgSteffen LimmerWessel LuijbenThomas BäckMarkus OlhoferPublished in: DSA (2021)
Keyphrases
- fault detection and diagnosis
- fourier transform
- induction motor
- machine learning
- fault diagnosis
- frequency domain
- fault detection
- signal processing
- closed loop
- pattern recognition
- polar coordinates
- fourier domain
- radon transform
- control scheme
- fourier coefficients
- fast fourier transform
- fuzzy logic
- support vector machine
- decision trees
- computational intelligence
- power plant
- discrete fourier transform
- computer vision
- data mining
- control system
- neural network
- subband
- multiresolution
- decision making
- correlation function