Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges.
Jovani DalzochioRafael KunstEdison PignatonAlécio BinottoSrijnan SanyalJose FavillaJorge BarbosaPublished in: Comput. Ind. (2020)
Keyphrases
- current status
- machine learning
- future directions
- lessons learned
- knowledge representation
- key issues
- knowledge base
- case study
- real world
- automated reasoning
- open issues
- learning algorithm
- future trends
- pattern recognition
- academia and industry
- coming years
- reasoning systems
- artificial intelligence
- data mining
- knowledge acquisition
- text classification
- decision trees
- natural language processing
- feature selection
- computer science
- predictive modeling
- data analysis
- software maintenance
- active learning
- academic community
- support vector machine
- supervised learning
- learning tasks
- machine learning methods
- machine learning algorithms
- data mining projects
- interdisciplinary field
- past experience
- predictive model
- world wide
- inductive logic programming
- logic programming
- information extraction
- knowledge discovery
- computer vision