Name
Title | ||
|---|---|---|
High-accuracy gearbox health state recognition based on graph sparse random vector functional link network |
Abstract | ||
|---|---|---|
hA GSRVFLN model is invented for gearbox health state recognition.hGSRVFLN can fully leverage exploit the sparsity of the output labels.hGSRVFLN employs a manifold graph to capture the structure information of input data.hWe devise an effective solver for GSRVFLN model with ADMM scheme.hTwo gearbox datasets are used to verify the superiority of GSRVFLN. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.ress.2021.108187 | Reliability Engineering & System Safety |
Keywords | DocType | Volume |
Random vector functional link network,Sparse constraint,Discriminative information,Health state recognition,Gearbox fault diagnosis | Journal | 218 |
Issue | ISSN | Citations |
Part | 0951-8320 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Li | 1 | 509 | 46.11 |
| Yang Yu | 2 | 484 | 55.96 |
| Wu Zhantao | 3 | 0 | 0.34 |
| Ke Yan | 4 | 3 | 1.74 |
| Haidong Shao | 5 | 63 | 10.49 |
| Junsheng Cheng | 6 | 0 | 0.34 |