Optimized Fault Diagnosis-Driven RUL Prediction for Lithium-Ion Batteries using Multivariate LSTM.
Nacira BoudraaHabib Haj SalemHouari ToubakhHichem HennaMohamed Redouane KafiPublished in: ICCAD (2024)
Keyphrases
- fault diagnosis
- neural network
- expert systems
- fault detection
- electric vehicles
- fuzzy logic
- monitoring and fault diagnosis
- power transformers
- fault detection and diagnosis
- multiple faults
- chemical process
- industrial systems
- bp neural network
- condition monitoring
- electronic equipment
- operating conditions
- rbf neural network
- prediction model
- multi sensor information fusion
- recurrent neural networks
- gas turbine
- regression model
- fault identification
- soft computing methods
- information fusion
- real time
- rotating machinery
- failure diagnosis
- intelligent systems
- fault tree
- steam turbine
- tennessee eastman
- genetic algorithm
- bp algorithm