Name
Abstract | ||
|---|---|---|
This paper addresses the problem of remaining useful lifetime (RUL) prediction with non-periodical inspection data. To construct the RUL predictor, a two-stage solution is presented with the recently proposed time-gated long short-term memory network (TGLSTM) and a surrogate Wiener propagation model. The TGLSTM is used to process the nonperiodical time-stamps and the Wiener propagation model aims ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CASE49439.2021.9551607 | 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) |
DocType | ISBN | Citations |
Conference | 978-1-6654-1873-7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yingjun Deng | 1 | 0 | 0.68 |
| Mingpeiyu Zhang | 2 | 0 | 0.34 |
| Tian Wang | 3 | 0 | 1.01 |
| Huaming Wu | 4 | 81 | 14.49 |