Multigrained Hybrid Neural Network for Rotating Machinery Fault Diagnosis Using Joint Local and Global Information.
Zhenkun YangBin HeGang LiPing LuBin ChengPengpeng ZhangPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- rotating machinery
- global information
- fault diagnosis
- hybrid neural network
- neural network
- fault detection
- expert systems
- bp neural network
- operating conditions
- fault detection and diagnosis
- contextual information
- electronic equipment
- power transformers
- structural information
- fuzzy logic
- analog circuits
- global knowledge
- semantic information
- monitoring and fault diagnosis
- fault identification
- multi sensor information fusion
- gas turbine
- prior information
- artificial neural networks
- failure diagnosis
- chemical process
- multiple faults
- fault detection and isolation
- power plant
- control system
- tennessee eastman
- fault diagnostic
- search engine