Lightweight Deep Residual CNN for Fault Diagnosis of Rotating Machinery Based on Depthwise Separable Convolutions.
Shangjun MaWenkai LiuWei CaiZhaowei ShangGeng LiuPublished in: IEEE Access (2019)
Keyphrases
- lightweight
- rotating machinery
- fault diagnosis
- fault detection
- neural network
- expert systems
- fuzzy logic
- electronic equipment
- operating conditions
- fault detection and diagnosis
- bp neural network
- gas turbine
- monitoring and fault diagnosis
- multiple faults
- condition monitoring
- power transformers
- industrial systems
- artificial intelligence
- power plant
- fault tree
- analog circuits
- authentication protocol
- communication infrastructure
- chemical process
- fault detection and isolation
- multi sensor information fusion
- machine learning
- fault identification
- wireless sensor networks
- development environments
- steam turbine
- genetic algorithm