Feature selection algorithm based on density and distance for fault diagnosis applied to a roll-to-roll manufacturing system.
Hyogeun OhYoonjae LeeJongsu LeeChangbeom JooChangwoo LeePublished in: J. Comput. Des. Eng. (2022)
Keyphrases
- fault diagnosis
- manufacturing systems
- feature selection algorithms
- feature selection
- expert systems
- electronic equipment
- operating conditions
- multiple faults
- neural network
- fault detection and diagnosis
- fault detection
- petri net
- gas turbine
- chemical process
- monitoring and fault diagnosis
- analog circuits
- bp neural network
- condition monitoring
- fuzzy logic
- reinforcement learning
- simulation model
- complex systems
- semi supervised learning
- feature set
- data mining