A Novel Data Augmentation Method Based on Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Imbalanced Data.
Xiongyan YangTianyi YeXianfeng YuanWeijie ZhuXiaoxue MeiFengyu ZhouPublished in: IEEE Trans. Ind. Informatics (2024)
Keyphrases
- fault diagnosis
- probabilistic model
- data sets
- bp neural network
- denoising
- multi sensor information fusion
- input data
- sampling methods
- artificial intelligence
- test data
- bayesian networks
- data distribution
- data points
- support vector machine svm
- missing values
- original data
- imbalanced data
- training samples
- semi supervised learning
- fuzzy logic
- learning algorithm
- neural network