Potential, challenges and future directions for deep learning in prognostics and health management applications.
Olga FinkQin WangMarkus SvensénPierre DersinWan-Jui LeeMelanie DucoffePublished in: Eng. Appl. Artif. Intell. (2020)
Keyphrases
- future directions
- health management
- current challenges
- deep learning
- lessons learned
- engineering systems
- machine learning
- unsupervised feature learning
- utmost importance
- unsupervised learning
- advanced technologies
- current status
- data driven approaches
- decision trees
- weakly supervised
- engineering problems
- model selection
- maximum likelihood
- data sets