Machine learning for reliability engineering and safety applications: Review of current status and future opportunities.
Zhaoyi XuJoseph Homer SalehPublished in: Reliab. Eng. Syst. Saf. (2021)
Keyphrases
- machine learning
- current status and future
- computer science
- artificial intelligence
- engineering design
- natural language processing
- knowledge acquisition
- pattern recognition
- supervised learning
- inductive learning
- machine learning algorithms
- learning algorithm
- explanation based learning
- learning tasks
- machine learning methods
- literature review
- safety critical
- learning problems
- machine learning approaches
- supervised machine learning
- engineering students
- electrical engineering
- computational intelligence
- text mining
- knowledge representation
- active learning
- data analysis
- natural language
- data sets
- mechanical engineering
- interdisciplinary field
- engineering problems
- failure rate
- statistical methods
- transfer learning
- learning systems
- text classification
- support vector machine
- case study
- decision trees