A Novel Architecture for Robust and Adaptive Machine Learning Using Heterogeneous Data in Condition Monitoring of Automation Systems.
Simon KammPaveen Rajai SuthandhiraNasser JazdiMichael WeyrichPublished in: ETFA (2023)
Keyphrases
- heterogeneous data
- condition monitoring
- machine learning
- data integration
- databases
- fault detection
- metadata
- fault diagnosis
- acoustic emission
- complex data
- power transformers
- pattern recognition
- feature selection
- data sources
- data analysis
- real time
- data management
- heterogeneous databases
- nuclear power plant
- natural language processing
- web data
- knowledge discovery
- natural language
- artificial intelligence
- data sets