Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection.
Harry BurtonJean-Sebastien G. BouillardNeil T. KempPublished in: ISCAS (2023)
Keyphrases
- wind turbine
- fault detection
- wind farm
- fault diagnosis
- quantum mechanics
- power plant
- floating gate
- wind power
- wind speed
- fault identification
- fault detection and diagnosis
- industrial processes
- condition monitoring
- tennessee eastman
- expert systems
- failure detection
- power generation
- recurrent neural networks
- neural network
- fuzzy logic
- robust fault detection
- high speed
- fault localization
- soft computing
- fuel cell
- fault isolation
- particle swarm optimisation
- chemical process
- fault detection and isolation
- operating conditions
- historical data
- decision support system
- computational intelligence
- data warehouse
- artificial intelligence
- genetic algorithm
- machine learning