Exploring Machine Learning-Based Fault Monitoring for Polymer-Based Additive Manufacturing: Challenges and Opportunities.
Gabriel Avelino R. SampedroSyifa Maliah RachmawatiDong-Seong KimJae-Min LeePublished in: Sensors (2022)
Keyphrases
- machine learning
- real time
- learning tasks
- machine learning methods
- data mining
- lessons learned
- learning systems
- machine learning algorithms
- monitoring system
- natural language processing
- information extraction
- manufacturing systems
- pattern recognition
- quality control
- key issues
- fault detection
- fault diagnosis
- real world
- explanation based learning
- manufacturing industry
- normal operation
- neural network
- natural language
- feature selection
- computer vision
- learning algorithm
- knowledge acquisition
- text classification
- computational intelligence
- statistical methods
- supervised learning
- support vector machine
- active learning
- decision trees
- artificial intelligence