Incremental supervised locally linear embedding for machinery fault diagnosis.
Yuanhong LiuYansheng ZhangZhiwei YuMing ZengPublished in: Eng. Appl. Artif. Intell. (2016)
Keyphrases
- fault diagnosis
- locally linear embedding
- neighborhood preserving embedding
- dimensionality reduction
- manifold learning
- low dimensional
- high dimensional
- neural network
- high dimensional data
- expert systems
- semi supervised
- fault detection
- fuzzy logic
- fault detection and diagnosis
- principal component analysis
- unsupervised learning
- subspace learning
- power transformers
- chemical process
- principal components analysis
- operating conditions
- multi sensor information fusion
- dimensional data
- machine learning
- dimensionality reduction methods
- monitoring and fault diagnosis
- learning algorithm
- supervised learning
- pattern recognition
- analog circuits
- feature selection
- multiscale
- face recognition
- dimension reduction
- markov chain
- feature extraction
- multiple faults