Name
Title | ||
|---|---|---|
Hyper-parameter optimization based nonlinear multistate deterioration modeling for deterioration level assessment and remaining useful life prognostics. |
Abstract | ||
|---|---|---|
•A general solution is presented to nonlinear multistate deterioration modeling for deterioration level assessment and remaining useful life prognostics under no-label lifetime data including multi signals.•In the solution, a three layer nonlinear multistate deterioration model of complex equipment is established based on hyper-parameter optimization.•Hyper-parameter I and M, which determine the first two layers, are optimized by the proposed unsupervised extraction method based on greedy kernel principal components analysis and the improved Mann–Kendall criterion, respectively.•As determinant of the third layer, hyper-parameter N is optimized by the improved Bayesian information criterion to obtain optimized model, when parameters have been estimated under each alternative model structure at different N. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.ress.2017.06.030 | Reliability Engineering & System Safety |
Keywords | Field | DocType |
Remaining useful life,Multistate deterioration,Nonlinearity,Hyper-parameter optimization,Complex equipment | Kernel (linear algebra),Bayesian information criterion,Nonlinear system,Exponential function,Hyperparameter,Prognostics,Engineering,Linear function,Principal component analysis,Reliability engineering | Journal |
Volume | ISSN | Citations |
167 | 0951-8320 | 1 |
PageRank | References | Authors |
0.38 | 21 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gaige Chen | 1 | 1 | 0.38 |
| Jinglong Chen | 2 | 28 | 8.24 |
| Yanyang Zi | 3 | 268 | 25.13 |
| Huihui Miao | 4 | 10 | 1.21 |