Electric motor defects diagnosis based on kernel density estimation and Kullback-Leibler divergence in quality control scenario.
Francesco FerracutiAndrea GiantomassiSabrina IarloriGianluca IppolitiSauro LonghiPublished in: Eng. Appl. Artif. Intell. (2015)
Keyphrases
- kullback leibler divergence
- kernel density estimation
- quality control
- probability density function
- automated visual inspection
- machine vision
- density estimation
- density function
- probability density
- probability distribution
- manufacturing systems
- bayesian framework
- gaussian mixture model
- mutual information
- mixture model
- information theoretic
- information theory
- gaussian mixture
- em algorithm
- mean shift
- expectation maximization
- statistical methods
- distance function
- distance measure
- model selection
- defect detection
- multiscale
- bayesian networks
- low dimensional