Attention-based ConvNeXt with a parallel multiscale dilated convolution residual module for fault diagnosis of rotating machinery.
Baosu GuoZhaohui QiaoNing ZhangYongchun WangFenghe WuQingjin PengPublished in: Expert Syst. Appl. (2024)
Keyphrases
- rotating machinery
- fault diagnosis
- multiscale
- fault detection
- image processing
- neural network
- expert systems
- operating conditions
- fault detection and diagnosis
- fuzzy logic
- electronic equipment
- bp neural network
- power transformers
- multiple faults
- condition monitoring
- failure diagnosis
- image segmentation
- industrial systems
- chemical process
- edge detection
- analog circuits
- wavelet transform
- gas turbine
- rbf neural network
- fault identification
- monitoring and fault diagnosis
- fault diagnostic
- power plant
- fault tree
- power system
- wavelet coefficients