Estimating failure time distribution and its parameters based on intermediate data from a Wiener degradation model

By Jen Tang, Tsui-Shu Su. 2008

76 citations recorded by the source corpus.

Subfields: Safety, Risk, Reliability and Quality, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/154df8f409d35f8875a9ce64472353b3291162cf

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

1. Xiaosheng Si
2. Changhua Hu
3. Donghua Zhou
4. Wenbin Wang
5. Michael G. Pecht
6. Xiaohui Si
7. Kwok Leung Tsui
8. Z. Ye

In Statistics and Probability

1. Donghua Zhou
2. Michael G. Pecht
3. Changhua Hu
4. Xiaohui Si
5. Wenbin Wang
6. Xiaosheng Si
7. Bo Guo
8. Xiaolin Wang

Citations in the corpus

• Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process (2012, background): “Clearly, if , then (1) becomes the conventional linear drifted model in [9], [47], [53].”
• Remaining useful life estimation - A review on the statistical data driven approaches (2011, background): “One considered the threshold was unknown or random ( Singpurwalla , 2006 ) and the other assessed the lifetime using the intermediate data which were obtained from degradation pro - cesses over certain non - failure thresholds ( Tang and Su , 2008 ) .”