Fault diagnosis of biological systems using improved machine learning technique.
Radhia FezaiKamaleldin AbodayehMajdi MansouriHazem N. NounouMohamed N. NounouPublished in: Int. J. Mach. Learn. Cybern. (2021)
Keyphrases
- fault diagnosis
- biological systems
- machine learning
- expert systems
- fault detection
- neural network
- complex systems
- systems biology
- fault detection and diagnosis
- biologically inspired
- fuzzy logic
- rotating machinery
- gas turbine
- bp neural network
- electronic equipment
- fault identification
- living systems
- multiple faults
- complex biological systems
- monitoring and fault diagnosis
- multi sensor information fusion
- chemical process
- power transformers
- operating conditions
- biologically inspired design
- signal transduction
- industrial systems
- condition monitoring
- computational models
- fault diagnostic
- power plant
- analog circuits
- active learning
- data mining
- learning algorithm
- feature selection
- tennessee eastman
- real time
- neural mechanisms
- reinforcement learning
- cooperative
- knowledge representation
- statistical methods