Fault detection of rolling element bearings using the frequency shift and envelope based compressive sensing.
Xiaoli TangYuandong XuFengshou GuAndrew D. BallGuangbin WangPublished in: ICAC (2017)
Keyphrases
- fault detection
- compressive sensing
- condition monitoring
- image recovery
- fault diagnosis
- industrial processes
- random projections
- sparse representation
- fault identification
- compressive sampling
- image representation
- vibration signal
- fuel cell
- signal processing
- robust fault detection
- tennessee eastman
- distributed source coding
- compressed sensing
- power plant
- image classification
- multiscale
- feature extraction
- computer vision
- artificial intelligence