LSTM Based Bearing Fault Diagnosis of Electrical Machines using Motor Current Signal.
Russell SabirDaniele RosatoSven HartmannClemens GühmannPublished in: ICMLA (2019)
Keyphrases
- decision making
- fault diagnosis
- monitoring and fault diagnosis
- fuzzy logic
- electrical power systems
- expert systems
- fault detection
- neural network
- fault detection and diagnosis
- operating conditions
- gas turbine
- chemical process
- analog circuits
- power transformers
- condition monitoring
- electronic equipment
- bp neural network
- multiple faults
- rbf neural network
- recurrent neural networks
- vibration signal
- power system
- tennessee eastman
- rotating machinery
- artificial intelligence
- fault tree
- fault identification
- fault detection and isolation
- frequency domain
- non stationary
- industrial systems
- failure diagnosis
- low voltage
- fault diagnostic
- multi sensor information fusion