Automated Model Generation for Machinery Fault Diagnosis Based on Reinforcement Learning and Neural Architecture Search.
Jian ZhouLianyu ZhengYiwei WangCheng WangRobert X. GaoPublished in: IEEE Trans. Instrum. Meas. (2022)
Keyphrases
- fault diagnosis
- neural architecture
- neural network
- reinforcement learning
- fault detection
- expert systems
- monitoring and fault diagnosis
- fuzzy logic
- condition monitoring
- rbf neural network
- bp neural network
- multiple faults
- operating conditions
- chemical process
- electronic equipment
- power transformers
- fault detection and diagnosis
- rotating machinery
- search space
- gas turbine
- analog circuits
- learning algorithm
- activation function
- real time
- multi sensor information fusion
- artificial neural networks
- computational intelligence
- decision making
- feature selection