3D-AmplifAI: An Ensemble Machine Learning Approach to Digital Twin Fault Monitoring for Additive Manufacturing in Smart Factories.
Gabriel Avelino R. SampedroMade Adi Paramartha PutraMideth B. AbisadoPublished in: IEEE Access (2023)
Keyphrases
- machine learning
- fault diagnosis
- monitoring system
- learning algorithm
- fault detection
- machine learning methods
- machine learning algorithms
- neural network
- quality control
- ensemble methods
- artificial intelligence
- normal operation
- feature selection
- decision trees
- explanation based learning
- computer science
- manufacturing systems
- ensemble learning
- real time
- machine learning approaches
- manufacturing process
- supervised learning
- condition monitoring
- support vector machine
- failure modes
- continuous monitoring
- random forests
- manufacturing processes
- rule induction algorithm
- random forest
- inductive learning
- data analysis
- active learning
- multi class
- text mining
- pattern recognition
- benchmark datasets
- base classifiers
- product design
- smart grid
- learning systems
- wireless sensor
- reinforcement learning
- information extraction
- capacity planning
- knowledge representation
- manufacturing companies
- training data
- nuclear power plant
- training set