Wavelet energy-based visualization and classification of high-dimensional signal for bearing fault detection.
Uk JungBong-Hwan KohPublished in: Knowl. Inf. Syst. (2015)
Keyphrases
- fault detection
- high dimensional
- vibration signal
- industrial processes
- feature space
- pattern recognition
- high dimensionality
- fault diagnosis
- tennessee eastman
- feature extraction
- fault identification
- artificial intelligence
- wavelet packet transform
- fuel cell
- fault localization
- high frequency
- multiscale
- feature selection
- power spectrum
- machine learning
- wavelet analysis
- power plant
- feature vectors
- wavelet coefficients
- low dimensional
- wavelet packet
- condition monitoring
- non stationary
- failure detection
- original signal
- denoising
- multiresolution