Tool Wear Predicting Based on Multisensory Raw Signals Fusion by Reshaped Time Series Convolutional Neural Network in Manufacturing.
Zhiwen HuangJianmin ZhuJingtao LeiXiaoru LiFengqing TianPublished in: IEEE Access (2019)
Keyphrases
- convolutional neural network
- tool wear
- acoustic emission
- machining processes
- multi sensor
- manufacturing processes
- condition monitoring
- face detection
- cutting tool
- failure prediction
- feed rate
- data fusion
- non stationary
- flank wear
- multivariate time series
- quality control
- manufacturing systems
- feature selection
- neural network
- image fusion
- detection method
- multi class
- multiscale
- autoregressive
- manufacturing process
- real time
- visual information
- infrared