Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network.
Dan LiuShisheng ZhongLin LinMinghang ZhaoXuyun FuXueyun LiuPublished in: Adv. Eng. Informatics (2022)
Keyphrases
- fault diagnosis
- gas turbine
- fault detection
- neural network
- expert systems
- fuzzy logic
- monitoring and fault diagnosis
- rotating machinery
- chemical process
- bp neural network
- electronic equipment
- operating conditions
- condition monitoring
- fault detection and diagnosis
- genetic algorithm
- wind turbine
- power transformers
- class distribution
- data sets
- steady state
- multiple faults
- decision trees
- highly imbalanced
- data points
- training set