Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach.
Yu DingLiang MaJian MaMingliang SuoLaifa TaoYujie ChengChen LuPublished in: Adv. Eng. Informatics (2019)
Keyphrases
- rotating machinery
- fault diagnosis
- fault detection
- monitoring and fault diagnosis
- reinforcement learning
- neural network
- expert systems
- fuzzy logic
- industrial systems
- state space
- fault detection and diagnosis
- machine learning
- rbf neural network
- condition monitoring
- fault identification
- multiple faults
- operating conditions
- power transformers
- fault detection and isolation
- bp neural network
- chemical process
- failure diagnosis
- electrical power systems
- electronic equipment
- intelligent systems
- support vector machine
- tennessee eastman
- feature extraction
- learning algorithm
- support vector
- analog circuits
- power plant