Evaluation of Deep Learning for Semantic Image Segmentation in Tool Condition Monitoring.
Benjamin LutzDominik KißkaltDaniel RegulinRaven ReischAndreas SchifflerJörg FrankePublished in: ICMLA (2019)
Keyphrases
- deep learning
- condition monitoring
- image segmentation
- tool wear
- unsupervised learning
- unsupervised feature learning
- multiscale
- fault detection
- natural language
- machine learning
- fault diagnosis
- graph cuts
- segmentation method
- mental models
- knowledge base
- segmentation algorithm
- domain specific
- training set
- semantic features
- computer vision
- artificial intelligence
- object recognition
- acoustic emission
- neural network