Time-frequency envelope analysis-based sub-band selection and probabilistic support vector machines for multi-fault diagnosis of low-speed bearings.
M. M. Manjurul IslamJong-Myon KimPublished in: J. Ambient Intell. Humaniz. Comput. (2024)
Keyphrases
- fault diagnosis
- support vector
- expert systems
- condition monitoring
- frequency domain
- subband
- wavelet transform
- neural network
- electronic equipment
- fuzzy logic
- image compression
- bp neural network
- real time
- operating conditions
- monitoring and fault diagnosis
- signal processing
- genetic algorithm
- fault detection and diagnosis
- support vector machine
- filter bank
- chemical process
- analog circuits
- evaluation model
- high frequency
- machine learning
- wavelet coefficients
- image processing
- multiresolution