Hidden features extraction and amplification based on eigenvalue imaging and gray-level grouping for bearing fault diagnosis.
Huanying HanDongsheng YangJia QinPublished in: Int. J. Mach. Learn. Cybern. (2022)
Keyphrases
- gray level
- features extraction
- fault diagnosis
- monitoring and fault diagnosis
- expert systems
- image segmentation
- neural network
- fault detection
- automatic classification
- gray scale
- fuzzy logic
- co occurrence
- gray level images
- wavelet transform
- texture analysis
- fault detection and diagnosis
- character recognition
- analog circuits
- image analysis
- feature extraction
- power transformers
- operating conditions
- chemical process
- rotating machinery
- image processing
- input image
- black and white
- multiple faults
- pixel values
- electronic equipment
- texture features
- gray value
- condition monitoring
- high resolution
- gas turbine
- multi sensor information fusion
- contrast enhancement
- image quality
- mathematical morphology
- face recognition
- computer vision