Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time-Frequency-Based Features and Deep Learning Models.
Sameer SayyadSatish KumarArunkumar M. BongaleKetan KotechaAjith AbrahamPublished in: Sensors (2023)
Keyphrases
- learning models
- cutting tool
- flank wear
- tool wear
- classification models
- machine learning models
- semi supervised learning
- machine learning
- loss function
- computer aided design
- machine learning algorithms
- learning algorithm
- image processing
- information retrieval
- object oriented
- higher order
- image classification
- multiresolution
- conditional random fields
- learning process
- feature vectors
- pairwise