Fault diagnosis of hydropower generator based on LSTM- weight.
Jingcao HuangBin GuoSongyi DianXiaoying LiWuxing LaiPublished in: CACRE (2022)
Keyphrases
- fault diagnosis
- steam turbine
- neural network
- operating conditions
- fault detection
- expert systems
- fault detection and diagnosis
- fuzzy logic
- analog circuits
- chemical process
- bp neural network
- recurrent neural networks
- monitoring and fault diagnosis
- electronic equipment
- multiple faults
- rotating machinery
- power transformers
- gas turbine
- fault detection and isolation
- condition monitoring
- industrial systems
- multi sensor information fusion
- fault identification
- rbf neural network
- failure diagnosis
- power plant
- electrical power systems
- back propagation
- markov chain
- knowledge base