Efficient DCNN-LSTM Model for Fault Diagnosis of Raw Vibration Signals: Applications to Variable Speed Rotating Machines and Diverse Fault Depths Datasets.
Muhammad AhsanMostafa M. SalahPublished in: Symmetry (2023)
Keyphrases
- fault diagnosis
- bp neural network
- fault detection
- expert systems
- fault detection and isolation
- operating conditions
- monitoring and fault diagnosis
- condition monitoring
- neural network
- mathematical model
- wind turbine
- fuzzy logic
- power plant
- vibration signal
- gas turbine
- chemical process
- artificial neural networks
- autoregressive
- fault detection and diagnosis
- fault tree
- tennessee eastman
- multiscale