Tool Wear Prediction via Multidimensional Stacked Sparse Autoencoders With Feature Fusion.
Chengming ShiBo LuoSongping HeKai LiHongqi LiuBin LiPublished in: IEEE Trans. Ind. Informatics (2020)
Keyphrases
- feature fusion
- tool wear
- flank wear
- failure prediction
- multi sensor
- canonical correlation analysis
- feature extraction
- cutting tool
- multiple features
- condition monitoring
- high dimensional
- denoising
- pattern recognition
- fusion algorithm
- sparse coding
- fusion method
- sparse representation
- manufacturing processes
- feature vectors
- image processing
- information fusion
- data reduction
- data fusion
- feature space
- infrared
- preprocessing
- image classification
- multiscale