An Empirical Comparison of Two Different Strategies to Automated Fault Detection: Machine Learning Versus Dynamic Analysis.
Rafig AlmaghairbeMarc RoperPublished in: ISSRE Workshops (2019)
Keyphrases
- fault detection
- dynamic analysis
- machine learning
- static analysis
- reverse engineering
- fault identification
- fault diagnosis
- tennessee eastman
- industrial processes
- failure detection
- condition monitoring
- fault detection and diagnosis
- robust fault detection
- fault localization
- model checking
- artificial intelligence
- power plant
- data mining
- knowledge discovery
- pattern recognition
- neural network
- expert systems
- decision trees
- fuel cell
- source code
- computational intelligence
- fault isolation
- databases
- regular expressions
- fault detection and isolation