A Data-Driven Approach for Predicting the Remaining Useful Life of Steam Generators

被引：0
|
作者：
Hoang-Phuong Nguyen [1 ]
Fauriat, William [1 ]
Zio, Enrico [1 ]
Liu, Jie [2 ]
机构：
[1] Univ Paris Saclay, Chair Syst Sci & Energet Challenge, Cent Supelec, F-91192 Gif Sur Yvette, France
[2] Beihang Univ, Sch Reliabil & Syst Engn, 37 Xueyuan Rd, Beijing, Peoples R China
来源：
2018 3RD INTERNATIONAL CONFERENCE ON SYSTEM RELIABILITY AND SAFETY (ICSRS) | 2018年
关键词：
nuclear power plant; steam generators; prognostics and health management; ARIMA; remaining useful life;
D O I：
10.1109/ICSRS.2018.00049
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The reliability of steam generators in nuclear power plants has always been a challenging issue. Various diagnostic models have been proposed in the literature. However, no work has been reported on the development of a robust prediction model for forecasting the future health state of steam generators. In this paper, we propose an ARIMA-based prognostic approach for tracking the degradation evolution in a steam generator and further predicting its Remaining Useful Life (RUL) before breakdown. A case study concerning real degradation datasets from different steam generators is extensively investigated to validate the performance of the proposed model.
引用
收藏
页码：255 / 260
页数：6
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