Name
Title | ||
|---|---|---|
Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine |
Abstract | ||
|---|---|---|
The existing fault prognosis techniques of aeroengine mostly focus on a single monitoring parameter under stable condition, and have low adaptability to new prognosis scenes. To boost the fault prognosis capability cross aeroengines, modified deep autoencoder (MDAE) driven by multi-source parameters is proposed in this article. First, the sensitive multi-source parameters are selected and fused us... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TIE.2021.3050382 | IEEE Transactions on Industrial Electronics |
Keywords | DocType | Volume |
Prognostics and health management,Degradation,Adaptation models,Time series analysis,Indexes,Feature extraction,Data models | Journal | 69 |
Issue | ISSN | Citations |
1 | 0278-0046 | 4 |
PageRank | References | Authors |
0.43 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiyi He | 1 | 4 | 0.43 |
| Haidong Shao | 2 | 63 | 10.49 |
| Ziyang Ding | 3 | 4 | 0.43 |
| Hongkai Jiang | 4 | 4 | 0.43 |
| Junsheng Cheng | 5 | 4 | 0.43 |