Wireless sensor network fault detection via semi-supervised local kernel density estimation.
Mingbo ZhaoTommy W. S. ChowPublished in: ICIT (2015)
Keyphrases
- fault detection
- kernel density estimation
- semi supervised
- wireless sensor networks
- fault diagnosis
- industrial processes
- probability density function
- labeled data
- mean shift
- fault identification
- density estimation
- active learning
- fuel cell
- supervised learning
- probability density
- tennessee eastman
- density function
- unsupervised learning
- pairwise
- object segmentation
- higher dimensional
- genetic algorithm
- power plant
- feature selection
- generative model
- random variables
- model selection
- probability distribution
- probabilistic model
- artificial intelligence
- machine learning