Rolling Bearing Initial Fault Detection Using Long Short-Term Memory Recurrent Network.
Huaitao ShiLei GuoShuai TanXiaotian BaiPublished in: IEEE Access (2019)
Keyphrases
- fault detection
- recurrent neural networks
- recurrent networks
- long short term memory
- fault diagnosis
- monitoring and fault diagnosis
- neural network
- industrial processes
- feed forward
- fault identification
- rotating machinery
- condition monitoring
- fuel cell
- robust fault detection
- artificial neural networks
- tennessee eastman
- failure detection
- fault detection and diagnosis
- fault localization
- fault detection and isolation
- artificial intelligence
- power plant
- biologically inspired
- fuzzy logic
- gas turbine
- fault isolation
- expert systems