LiReD: A Light-Weight Real-Time Fault Detection System for Edge Computing Using LSTM Recurrent Neural Networks.
Donghyun ParkSeulgi KimYelin AnJae-Yoon JungPublished in: Sensors (2018)
Keyphrases
- recurrent neural networks
- lightweight
- fault detection
- real time
- long short term memory
- fault diagnosis
- industrial processes
- neural network
- fault identification
- feed forward
- recurrent networks
- condition monitoring
- failure detection
- cascade correlation
- fuel cell
- reservoir computing
- smart camera
- fault detection and diagnosis
- tennessee eastman
- fault localization
- artificial neural networks
- low cost
- neural model
- echo state networks
- power plant
- fault detection and isolation
- wireless sensor networks
- genetic algorithm
- robust fault detection
- underwater vehicles
- search space