Remaining Useful Life Prediction for a Roller in a Hot Strip Mill Based on Deep Recurrent Neural Networks
文献类型：期刊论文
| 作者 | Ruihua Jiao; Kaixiang Peng; Jie Dong |
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2021 |
| 卷号 | 8期号:7页码:1345-1354 |
| 关键词 | Hot strip mill prognostics and health management (PHM) recurrent neural network (RNN) remaining useful life (RUL) roller management |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2021.1004051 |
| 英文摘要 | Accurate estimation of the remaining useful life (RUL) and health state for rollers is of great significance to hot rolling production. It can provide decision support for roller management so as to improve the productivity of the hot rolling process. In addition, the RUL prediction for rollers is helpful in transitioning from the current regular maintenance strategy to conditional-based maintenance. Therefore, a new method that can extract coarse-grained and fine-grained features from batch data to predict the RUL of the rollers is proposed in this paper. Firstly, a new deep learning network architecture based on recurrent neural networks that can make full use of the extracted coarsegrained fine-grained features to estimate the heath indicator (HI) is developed, where the HI is able to indicate the health state of the roller. Following that, a state-space model is constructed to describe the HI, and the probabilistic distribution of RUL can be estimated by extrapolating the HI degradation model to a predefined failure threshold. Finally, application to a hot strip mill is given to verify the effectiveness of the proposed methods using data collected from an industrial site, and the relatively low RMSE and MAE values demonstrate its advantages compared with some other popular deep learning methods. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/44587]  |
| 专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
| 推荐引用方式 GB/T 7714 | Ruihua Jiao,Kaixiang Peng,Jie Dong. Remaining Useful Life Prediction for a Roller in a Hot Strip Mill Based on Deep Recurrent Neural Networks[J]. IEEE/CAA Journal of Automatica Sinica,2021,8(7):1345-1354. |
| APA | Ruihua Jiao,Kaixiang Peng,&Jie Dong.(2021).Remaining Useful Life Prediction for a Roller in a Hot Strip Mill Based on Deep Recurrent Neural Networks.IEEE/CAA Journal of Automatica Sinica,8(7),1345-1354. |
| MLA | Ruihua Jiao,et al."Remaining Useful Life Prediction for a Roller in a Hot Strip Mill Based on Deep Recurrent Neural Networks".IEEE/CAA Journal of Automatica Sinica 8.7(2021):1345-1354. |
入库方式： OAI收割
来源：自动化研究所
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