An application of nonlinear feature extraction - A case study for low speed slewing bearing condition monitoring and prognosis.
Wahyu CaesarendraBuyung KosasihKiet TieuCraig A. S. MoodiePublished in: AIM (2013)
Keyphrases
- condition monitoring
- fault diagnosis
- monitoring and fault diagnosis
- feature extraction
- fault detection
- vibration signal
- power transformers
- case study
- expert systems
- high speed
- acoustic emission
- kernel principal component analysis
- image processing
- nuclear power plant
- preprocessing
- neural network
- tool wear
- feature selection
- real time
- feature vectors
- wavelet transform
- fuzzy logic
- dimensionality reduction
- operating conditions
- feature space
- independent components analysis
- genetic algorithm
- principal component analysis
- frequency domain
- manifold learning
- texture analysis
- artificial intelligence
- discriminant analysis
- linear discriminant analysis
- multiresolution
- machine learning methods
- multiscale