A Signal Based "W" Structural Elements for Multi-scale Mathematical Morphology Analysis and Application to Fault Diagnosis of Rolling Bearings of Wind Turbines.
Qiang LiYongsheng QiXuejin GaoYong-Ting LiLi-Qiang LiuPublished in: Int. J. Autom. Comput. (2021)
Keyphrases
- fault diagnosis
- mathematical morphology
- wind turbine
- image analysis
- multiscale
- image processing
- expert systems
- morphological operators
- gray scale
- monitoring and fault diagnosis
- fault detection
- neural network
- edge detection
- fuzzy logic
- wind speed
- condition monitoring
- image and signal processing
- signal processing
- morphological operations
- power transformers
- vibration signal
- multiple faults
- electrical power systems
- bp neural network
- operating conditions
- binary images
- scale space
- analog circuits
- fault detection and diagnosis
- decision support system
- artificial intelligence