Remaining Useful Life Prognosis for Turbofan Engine Using Explainable Deep Neural Networks with Dimensionality Reduction.
Chang Woo HongChangmin LeeKwangsuk LeeMin-Seung KoDaeEun KimKyeon HurPublished in: Sensors (2020)
Keyphrases
- dimensionality reduction
- neural network
- pattern recognition
- fault diagnosis
- high dimensional
- data representation
- high dimensional data
- principal component analysis
- structure preserving
- high dimensionality
- feature extraction
- low dimensional
- fuzzy logic
- principal components
- unsupervised learning
- genetic algorithm
- daily life
- multi layer
- dimensionality reduction methods
- linear discriminant analysis
- feature selection
- breast cancer
- pattern recognition and machine learning
- linear dimensionality reduction
- neural network model
- back propagation
- random projections
- early detection
- manifold learning
- nonlinear dimensionality reduction
- neural nets
- feature space
- metric learning
- locally linear embedding
- image processing
- expert systems
- data points
- feed forward
- discriminant analysis
- self organizing maps