Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines.
AbdElRahman A. ElSaidBrandon WildJames HigginsTravis DesellPublished in: eScience (2016)
Keyphrases
- recurrent neural networks
- long short term memory
- neural network
- recurrent networks
- complex valued
- feed forward
- feedforward neural networks
- neural model
- artificial neural networks
- echo state networks
- reservoir computing
- event detection
- human activities
- fault diagnosis
- hebbian learning
- chaotic time series
- decision making
- cascade correlation
- temporal information
- mathematical model
- nasa langley research center
- nonlinear dynamic systems
- learning algorithm