Data mining-based high impedance fault detection using mathematical morphology.
Kavaskar SekarNalin Kant MohantyPublished in: Comput. Electr. Eng. (2018)
Keyphrases
- mathematical morphology
- fault detection
- data mining
- gray scale
- binary images
- image analysis
- morphological operators
- fault diagnosis
- industrial processes
- fault identification
- tennessee eastman
- morphological operations
- image and signal processing
- image processing
- morphological image processing
- adaptive neighborhood
- knowledge discovery
- failure detection
- translation invariant
- computationally simple
- watershed transform
- machine learning
- edge detection
- colour images
- structuring elements
- spatially variant
- fuel cell
- fault detection and diagnosis
- rough sets
- data mining techniques
- robust fault detection
- power plant
- association rules
- morphological filters
- gray level
- linear filtering
- color images
- high order
- region growing
- computer vision