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A Data-Driven approach for predicting the remaining useful life of steam generators

Abstract : 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.
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Hoang-Phuong Nguyen, William Fauriat, Enrico Zio, Jie Liu. A Data-Driven approach for predicting the remaining useful life of steam generators. 2018 3rd International Conference on System Reliability and Safety (ICSRS), Nov 2018, Barcelona, Spain. ⟨10.1109/ICSRS.2018.00049⟩. ⟨hal-02194938⟩



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