CIS2N: Causal independence and sparse shift network for rotating machinery fault diagnosis in unseen domains.
Chang GuoZuogang ShangJiaxin RenZhibin ZhaoBaoqing DingShibin WangXuefeng ChenPublished in: Reliab. Eng. Syst. Saf. (2024)
Keyphrases
- rotating machinery
- fault diagnosis
- fault detection
- expert systems
- neural network
- causal independence
- fuzzy logic
- operating conditions
- gas turbine
- fault detection and diagnosis
- bp neural network
- electronic equipment
- power transformers
- chemical process
- multiple faults
- monitoring and fault diagnosis
- multi sensor information fusion
- condition monitoring
- network structure
- analog circuits
- decision making
- probabilistic inference
- conditional random fields
- semi supervised
- artificial intelligence