Comparison of CNN and CNN-LSTM Architectures for Tool Wear Estimation

Modern manufacturing needs to guarantee product quality and reduce operating costs. These can be achieved through the use of analytical tools, which depend on the collection of large amounts of data, in this particular case in the form of time series. During the last few years, various conventional and neural network-based methods have shown great promise in problems related to estimating milling ...