Fault Detection of Rotation Machinery using Periodic Time-Frequency Sparsity.
Yin DingWangpeng HeBinqiang ChenYanyang ZiIvan W. SelesnickPublished in: CoRR (2015)
Keyphrases
- fault detection
- fault diagnosis
- industrial processes
- failure detection
- rotating machinery
- fault detection and diagnosis
- condition monitoring
- fault identification
- signal processing
- tennessee eastman
- fuel cell
- frequency domain
- sparse representation
- fault isolation
- wavelet packet
- fault localization
- power plant
- fourier transform
- vibration signal
- robust fault detection
- gas turbine
- neural network
- wavelet transform
- expert systems