Identification of Crack Location and Depth in Rotating Machinery Based on Artificial Neural Network.
Tao YuQingkai HanZhao-Ye QinBangchun WenPublished in: ISNN (2) (2006)
Keyphrases
- artificial neural networks
- rotating machinery
- fault diagnosis
- fault detection
- neural network
- automatic identification
- depth map
- feed forward
- back propagation
- depth information
- expert systems
- image processing
- location based services
- neural network model
- genetic algorithm
- road surface
- location information
- input variables
- computational intelligence
- information systems
- high quality
- decision trees