Hierarchical energy signatures using machine learning for operational visibility and diagnostics in automotive manufacturing.
Ankur VermaSeog-Chan OhJorge ArinezSoundar R. T. KumaraPublished in: CoRR (2024)
Keyphrases
- machine learning
- automotive industry
- learning algorithm
- low energy
- decision making
- computer science
- machine learning methods
- computer vision
- energy consumption
- spare parts
- hierarchical model
- model selection
- information extraction
- artificial intelligence
- text mining
- feature selection
- active learning
- unsupervised learning
- machine learning algorithms
- data analysis
- pattern recognition
- learning tasks
- inductive learning
- coarse to fine
- neural network
- manufacturing processes
- decision trees
- explanation based learning
- machine learning approaches
- energy minimization
- hierarchical structure
- knowledge acquisition
- support vector machine
- manufacturing systems
- product design
- semi supervised learning
- signature verification
- manufacturing process
- computational intelligence
- minimum energy
- signature recognition
- supervised learning
- manufacturing environment
- supply chain