An Advanced Tool Wear Forecasting Technique with Uncertainty Quantification Using Bayesian Inference and Support Vector Regression.
Zhiming RongYuxiong LiLi WuChong ZhangJialin LiPublished in: Sensors (2024)
Keyphrases
- support vector regression
- bayesian inference
- tool wear
- failure prediction
- cutting tool
- forecasting accuracy
- regression model
- hybrid model
- hyperparameters
- forecasting model
- prior information
- support vector
- probabilistic model
- condition monitoring
- support vector machine svm
- support vector classification
- kernel function
- support vector machine
- particle filter
- load forecasting
- financial time series forecasting
- statistical inference
- multiscale
- machine learning
- conditional probabilities
- training set
- training data
- decision trees
- computer vision
- artificial neural network models