Remaining useful life in theory and practice
By Dragan Banjevic. 2009
103 citations recorded by the source corpus.
Subfields: Safety, Risk, Reliability and Quality, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/d9afc77920984145e41884e243a6c55ebb1c187b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Safety, Risk, Reliability and Quality
- Donghua Zhou
- Changhua Hu
- Qin Wang
- Wenbin Wang
- Olga Fink
- Markus Svensén
- Pierre Dersin
- Mélanie Ducoffe
In Statistics and Probability
- Donghua Zhou
- Changhua Hu
- Qin Wang
- Wenbin Wang
- Olga Fink
- Markus Svensén
- Pierre Dersin
- Mélanie Ducoffe
Citations in the corpus
- Potential, challenges and future directions for deep learning in prognostics and health management applications (2020, methodology): “…in data-driven RUL prediction have been mainly focusing on the statistical models, such as the thorough mathematical treatment of the RUL estimation in Banjevic (2009), with statistical properties of the expectation and standard deviation of the RUL and their asymptotic behaviour, under broad…”
- Remaining useful life estimation - A review on the statistical data driven approaches (2011, background): “The detailed treatment can be found in Banjevic (2009) and Zuashkiani et al.”