Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment.
Pengfei LiangWenhui WangXiaoming YuanSiyuan LiuLijie ZhangYiwei ChengPublished in: Eng. Appl. Artif. Intell. (2022)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- wavelet transform
- industrial systems
- vibration signal
- fault detection
- neural network
- expert systems
- fuzzy logic
- electronic equipment
- multiresolution
- bp neural network
- rotating machinery
- fault detection and isolation
- fault detection and diagnosis
- operating conditions
- chemical process
- power transformers
- real time
- fault identification
- multiple faults
- machine learning
- analog circuits
- multiscale
- subband
- intelligent systems
- gas turbine
- failure diagnosis
- probabilistic neural networks
- wavelet analysis
- industrial applications
- image compression