Electric Motor Fault Detection and Diagnosis by Kernel Density Estimation and Kullback-Leibler Divergence Based on Stator Current Measurements.
Andrea GiantomassiFrancesco FerracutiSabrina IarloriGianluca IppolitiSauro LonghiPublished in: IEEE Trans. Ind. Electron. (2015)
Keyphrases
- induction motor
- kullback leibler divergence
- fault detection and diagnosis
- kernel density estimation
- probability density function
- fault detection
- density function
- density estimation
- mutual information
- information theoretic
- closed loop
- control scheme
- probability density
- mean shift
- control system
- information theory
- distance measure
- machine learning
- probability distribution
- statistical methods
- distance function
- low dimensional
- image processing
- computer vision