Research of rolling bearing fault diagnosis based on wavelet.
Erbao PengYingzhan HuHongying WangPublished in: EMEIT (2011)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- vibration signal
- wavelet transform
- fault detection
- neural network
- expert systems
- operating conditions
- condition monitoring
- denoising
- multiscale
- wavelet coefficients
- fault detection and diagnosis
- fuzzy logic
- bp neural network
- electronic equipment
- partial discharge
- failure diagnosis
- wavelet analysis
- gas turbine
- rbf neural network
- analog circuits
- multiple faults
- industrial systems
- power transformers
- rotating machinery
- multiresolution
- feature extraction
- power spectrum
- fault detection and isolation
- fault identification
- multi sensor information fusion
- chemical process
- morphological filters
- power plant
- decision making
- artificial intelligence