Modified Bi-Directional LSTM Neural Networks for Rolling Bearing Fault Diagnosis.
Dawei QiuZichen LiuYiqing ZhouJinglin ShiPublished in: ICC (2019)
Keyphrases
- fault diagnosis
- bi directional
- monitoring and fault diagnosis
- neural network
- associative memory
- recurrent neural networks
- fault detection
- rbf neural network
- fault detection and diagnosis
- fuzzy logic
- bp neural network
- operating conditions
- expert systems
- power transformers
- chemical process
- rotating machinery
- power plant
- analog circuits
- back propagation
- electrical power systems
- electronic equipment
- gas turbine
- failure diagnosis
- industrial systems
- multiple faults
- fault identification
- multi sensor information fusion
- fault tree
- real time
- condition monitoring
- multilayer perceptron
- artificial neural networks
- fault detection and isolation
- probabilistic neural networks
- feature extraction
- machine learning