Name
Title | ||
|---|---|---|
Estimating Remaining Useful Life With Three-Source Variability in Degradation Modeling. |
Abstract | ||
|---|---|---|
The use of the observed degradation data of a system can help to estimate its remaining useful life (RUL). However, the degradation progression of the system is typically stochastic, and thus the RUL is also a random variable, resulting in the difficulty to estimate the RUL with certainty. In general, there are three sources of variability contributing to the uncertainty of the estimated RUL: 1) t... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TR.2014.2299151 | IEEE Transactions on Reliability |
Keywords | Field | DocType |
Degradation,Estimation,Measurement uncertainty,Stochastic processes,Uncertainty,Time measurement,Noise measurement | Random effects model,Random variable,Identifiability,Stochastic process,Kalman filter,Probability distribution,Estimation theory,Statistics,Mathematics,Reliability engineering,Reliability theory | Journal |
Volume | Issue | ISSN |
63 | 1 | 0018-9529 |
Citations | PageRank | References |
31 | 1.33 | 20 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao-Sheng Si | 1 | 623 | 46.17 |
| Wenbin Wang | 2 | 553 | 31.91 |
| Chang-Hua Hu | 3 | 483 | 31.18 |
| Dong-Hua Zhou | 4 | 1833 | 129.73 |