A fault diagnosis for rolling bearing based on multilevel denoising method and improved deep residual network.
Zhigang FengShouqi WangMingyue YuPublished in: Digit. Signal Process. (2023)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- expert systems
- denoising methods
- neural network
- denoising
- fault detection
- fuzzy logic
- bp neural network
- image denoising
- operating conditions
- rbf neural network
- rotating machinery
- electronic equipment
- gas turbine
- multiple faults
- analog circuits
- fault detection and diagnosis
- machine learning
- nonlocal means
- power transformers
- power system
- chemical process
- condition monitoring
- object recognition
- decision making
- multi sensor information fusion