Smart sheet metal forming: importance of data acquisition, preprocessing and transformation on the performance of a multiclass support vector machine for predicting wear states during blanking.
Christian KubikSebastian Michael KnauerPeter GrochePublished in: J. Intell. Manuf. (2022)
Keyphrases
- multi class
- data acquisition
- support vector machine
- sheet metal
- cost sensitive active learning
- monitoring system
- data processing
- low cost
- high speed
- data collection
- multiclass problems
- binary classification
- multiclass classification
- feature vectors
- real time
- cost sensitive
- supervisory control
- svm classifier
- kernel function
- multi class classification
- pairwise
- machine learning
- data analysis
- support vector machine svm
- multiclass support vector machines
- training data
- error correcting output codes
- multiple classes
- multiclass learning
- feature selection
- feature space
- support vector
- knn
- decision boundary
- active learning
- smart grid
- boosting algorithms
- reinforcement learning
- binary classifiers
- base classifiers
- hyperplane