Fault diagnosis based on the quality effect of learning algorithm for manufacturing systems.
Imene DjelloulZaki SariIbrahima dit Bouran SidibePublished in: J. Syst. Control. Eng. (2019)
Keyphrases
- fault diagnosis
- manufacturing systems
- learning algorithm
- quality control
- expert systems
- neural network
- manufacturing environment
- fault detection
- operating conditions
- fault detection and diagnosis
- multiple faults
- industrial systems
- power transformers
- complex systems
- monitoring and fault diagnosis
- chemical process
- bp neural network
- multi sensor information fusion
- fuzzy logic
- petri net
- rbf neural network
- machine learning
- training data
- analog circuits
- gas turbine
- electronic equipment
- holonic manufacturing systems
- fault identification
- fault detection and isolation
- reinforcement learning
- condition monitoring
- bp algorithm
- power plant
- real time
- soft computing methods
- rotating machinery
- failure diagnosis
- electrical power systems
- back propagation
- information fusion
- production cost
- artificial intelligence
- learning rate