Fault diagnosis of rolling bearing based on optimized Tunable-Q Wavelet Transform.
Xinyue ZhangLirong XieChuanshi CuiHongyin BaoLong ZhouWeishan SongPublished in: SAFEPROCESS (2023)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- wavelet transform
- vibration signal
- multiresolution
- fault detection
- image compression
- condition monitoring
- expert systems
- subband
- neural network
- operating conditions
- multiscale
- fuzzy logic
- wavelet coefficients
- electronic equipment
- bp neural network
- rbf neural network
- multiple faults
- wavelet analysis
- fault identification
- failure diagnosis
- gas turbine
- fault detection and diagnosis
- high frequency
- analog circuits
- frequency band
- feature extraction
- power transformers
- wavelet packet
- rotating machinery
- electrical power systems
- probabilistic neural networks
- artificial neural networks
- chemical process
- power plant
- industrial applications
- filter bank
- fault tree
- machine learning