A Novel Anti-Noise Fault Diagnosis Approach for Rolling Bearings Based on Convolutional Neural Network Fusing Frequency Domain Feature Matching Algorithm.
Xiangyu ZhouShanjun MaoMei LiPublished in: Sensors (2021)
Keyphrases
- matching algorithm
- frequency domain
- fault diagnosis
- monitoring and fault diagnosis
- convolutional neural network
- anti noise
- condition monitoring
- spatial domain
- fourier transform
- phase correlation
- neural network
- image matching
- fault detection
- expert systems
- template matching
- denoising
- power spectrum
- bp neural network
- face detection
- low frequency
- subband
- fuzzy logic
- feature extraction
- rbf neural network
- vibration signal
- feature vectors
- wavelet neural network
- feature set
- information fusion
- detection method