Diagnostic of the State of the Cutting Tool of Metal-Cutting Machines using Bidirectional Recurrent Neural Networks with a Long Short-Term Memory.
Kamil Adipovich MasalimovRustem Anvarovich MunasypovPublished in: ICARCV (2020)
Keyphrases
- recurrent neural networks
- long short term memory
- cutting tool
- tool wear
- neural network
- feed forward
- recurrent networks
- computer aided design
- reservoir computing
- feedforward neural networks
- artificial neural networks
- flank wear
- condition monitoring
- echo state networks
- neural model
- image analysis
- back propagation
- nonlinear dynamic systems
- chaotic time series
- relational databases
- decision making
- knowledge base
- image processing
- object oriented
- computer aided