A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples.
Jian TangJiawei XiaoWentao ChenXuegang LiChao WeiXiaoxi DingWenbing HuangPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- fault diagnosis
- prior knowledge
- learning algorithm
- small samples
- neural network
- expert systems
- training data
- intelligent systems
- condition monitoring
- bayesian framework
- fault detection
- electronic equipment
- multiple faults
- operating conditions
- data fusion
- genetic programming
- computational intelligence
- support vector
- machine learning