A Novel Reinforcement Learning-based Unsupervised Fault Detection for Industrial Manufacturing Systems.
Antonio AcerneseAmol YerudkarCarmen Del VecchioPublished in: ACC (2022)
Keyphrases
- manufacturing systems
- fault detection
- industrial processes
- reinforcement learning
- manufacturing enterprises
- gas turbine
- fault diagnosis
- fault identification
- petri net
- manufacturing environment
- condition monitoring
- quality control
- fault detection and isolation
- complex systems
- manufacturing processes
- fault detection and diagnosis
- fault localization
- fuel cell
- machine learning
- state space
- tennessee eastman
- shop floor
- failure detection
- quality improvement
- holonic manufacturing systems
- multi agent
- manufacturing process
- power plant
- chemical process
- optimal policy
- cooperative
- robust fault detection
- manufacturing cell
- mathematical models
- computational intelligence
- fuzzy logic