Data-Driven Intelligent Condition Adaptation of Feature Extraction for Bearing Fault Detection Using Deep Responsible Active Learning.
Mahesh Thylore RamakrishnaSaravanan ChandrasekaranV. Ashwin RamVinoth Kumar VenkatesanV. VivekSuresh GuluwadiPublished in: IEEE Access (2024)
Keyphrases
- fault detection
- data driven
- active learning
- feature extraction
- industrial processes
- fault diagnosis
- fault identification
- adaptive systems
- failure detection
- fault detection and diagnosis
- condition monitoring
- intelligent systems
- tennessee eastman
- robust fault detection
- fuel cell
- extracted features
- rotating machinery
- fault localization
- learning process
- power plant
- wavelet transform
- feature selection
- real time
- semi supervised
- training set
- feature space
- gas turbine
- fault detection and isolation
- pattern recognition
- machine learning
- data mining
- neural network