Physics-informed machine learning for sensor fault detection with flight test data.
Brian M. de SilvaJared CallahamJonathan JonkerNicholas GoebelJennifer KlemischDarren McDonaldNathan HicksJ. Nathan KutzSteven L. BruntonAleksandr Y. AravkinPublished in: CoRR (2020)
Keyphrases
- test data
- fault detection
- machine learning
- fault diagnosis
- industrial processes
- fault identification
- training data
- test cases
- condition monitoring
- training set
- fault detection and diagnosis
- test set
- tennessee eastman
- failure detection
- robust fault detection
- wind tunnel
- artificial intelligence
- fuel cell
- decision trees
- learning tasks
- feature selection
- semi supervised learning
- training samples
- active learning
- real time
- databases
- data sets
- evolutionary algorithm
- data analysis
- data mining
- training and test data
- search based testing
- power plant
- kernel methods
- error rate
- computational intelligence
- knowledge discovery
- control system
- learning algorithm
- neural network