Optimal burn-in policy by using an integrated Wiener process

By S. Tseng, Chien‐Yu Peng. 2004

74 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/eb40e1bf0ed706426c69245ee6cd347aec71357f

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. Z. Ye
2. Min Xie
3. Yaguo Lei
4. Ningbo Li
5. Xiaosheng Si
6. Naipeng Li
7. Changhua Hu
8. Donghua Zhou

In Statistics and Probability

1. Z. Ye
2. Min Xie
3. Donghua Zhou
4. Michael G. Pecht
5. Changhua Hu
6. Yaguo Lei
7. Xiaohui Si
8. Wenbin Wang

Citations in the corpus

• Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process (2012, methodology): “We refer to the model presented by Peng and Tseng [53] as below.”
• Remaining useful life estimation - A review on the statistical data driven approaches (2011, methodology): “(1994), Tseng et al. (1995), Lu et al.”
• Stochastic modelling and analysis of degradation for highly reliable products (2015, methodology): “[121] and Tseng and Peng [122] based on variants of theWiener process.”
• Machinery health prognostics: A systematic review from data acquisition to RUL prediction (2018, methodology): “[231,232] scheduled optimal burn-in policies based on the RUL prediction of Wiener process models.”