ICP-RL: Identifying Critical Paths for Fault Diagnosis Using Reinforcement Learning.
Jie XiaoYingying GeRu WangJungang LouPublished in: ACM Trans. Design Autom. Electr. Syst. (2024)
Keyphrases
- fault diagnosis
- reinforcement learning
- fault detection
- expert systems
- reinforcement learning algorithms
- neural network
- function approximation
- state space
- fault detection and diagnosis
- bp neural network
- fuzzy logic
- rotating machinery
- rbf neural network
- chemical process
- power transformers
- monitoring and fault diagnosis
- machine learning
- markov decision processes
- operating conditions
- learning algorithm
- electronic equipment
- failure diagnosis
- condition monitoring
- analog circuits
- model free
- gas turbine
- optimal policy
- rl algorithms
- industrial systems
- multiple faults
- power plant
- temporal difference
- electrical power systems
- multi sensor information fusion
- function approximators
- dynamic programming
- fault detection and isolation
- fault identification
- fault tree
- action space
- genetic algorithm