A two-step image segmentation based on clone selection multi-object emperor penguin optimizer for fault diagnosis of power transformer.
Zhikai XingYigang HePublished in: Expert Syst. Appl. (2024)
Keyphrases
- fault diagnosis
- power transformers
- multi object
- image segmentation
- neural network
- fault detection
- human perception
- expert systems
- condition monitoring
- fuzzy logic
- rotating machinery
- analog circuits
- fault detection and diagnosis
- operating conditions
- multiple objects
- statistical shape model
- graph cuts
- electronic equipment
- image processing
- image analysis
- multiscale
- chemical process
- monitoring and fault diagnosis
- computer vision
- segmentation method
- shape prior
- deformable models
- segmentation algorithm
- gas turbine
- multiple faults
- markov random field
- decision making
- motion trajectories
- power plant
- active contours
- reinforcement learning
- multi sensor information fusion