Multi-Domain Extreme Learning Machine for Bearing Failure Detection Based on Variational Modal Decomposition and Approximate Cyclic Correntropy.
Xiaohui WangGuangzhou SuiJiawei XiangGuangbin WangZhiqiang HuoZhen HuangPublished in: IEEE Access (2020)
Keyphrases
- multi domain
- failure detection
- extreme learning machine
- support vector regression
- cross domain
- feedforward neural networks
- gaussian processes
- domain specific
- hidden nodes
- feed forward neural networks
- fault detection
- neural network
- single layer
- activation function
- highly reliable
- machine learning
- heterogeneous networks
- multi layer
- back propagation
- text classification
- artificial neural networks
- support vector