A Rolling Bearing Fault Diagnosis Based on Conditional Depth Convolution Countermeasure Generation Networks under Small Samples.
Cheng PengShuting ZhangChangyun LiPublished in: Sensors (2022)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- small samples
- sample size
- neural network
- expert systems
- operating conditions
- fault detection and diagnosis
- rbf neural network
- fuzzy logic
- model selection
- fault detection
- multiple faults
- markov fields
- image processing
- electronic equipment
- accurate models
- power transformers
- analog circuits
- gas turbine
- multi sensor information fusion
- rotating machinery
- condition monitoring
- power plant
- bp neural network
- vibration signal
- network structure
- support vector machine
- regression trees
- steady state
- regression model
- tennessee eastman
- machine learning