Rolling bearing fault diagnosis based on multiple wavelet coefficient dimensionality reduction and improved residual network.
Xiaoyang ZhengPeixi YangKai YanYunze HeQianjiang YuMingyan LiPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- dimensionality reduction
- wavelet coefficients
- expert systems
- neural network
- fault detection
- fault detection and diagnosis
- wavelet domain
- bp neural network
- electronic equipment
- chemical process
- subband
- multiple faults
- fuzzy logic
- wavelet transform
- gas turbine
- operating conditions
- power transformers
- condition monitoring
- rotating machinery
- analog circuits
- multiresolution
- wavelet packet transform
- high frequency
- wavelet transformation
- wavelet decomposition
- high dimensional
- low frequency
- feature extraction
- real time
- fault diagnostic
- multi sensor information fusion
- data flow
- artificial neural networks
- decision making