Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis.
Dingyi SunYongbo LiZheng LiuSixiang JiaKhandaker NomanPublished in: Inf. Fusion (2024)
Keyphrases
- rotating machinery
- fault diagnosis
- machine learning
- fault detection
- expert systems
- computer science
- fault detection and diagnosis
- artificial intelligence
- neural network
- bp neural network
- monitoring and fault diagnosis
- operating conditions
- fuzzy logic
- learning algorithm
- multiple faults
- electronic equipment
- rbf neural network
- fault identification
- chemical process
- industrial systems
- power transformers
- multi sensor information fusion
- analog circuits
- power plant
- dempster shafer evidence theory
- gas turbine
- condition monitoring
- fault detection and isolation
- intelligent systems
- tennessee eastman
- decision support system
- multiresolution
- fusion algorithm
- soft computing methods
- data fusion
- fault tree
- fault diagnostic