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Conference papers
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.
Cited literature [23 references]
https://hal-centralesupelec.archives-ouvertes.fr/hal-02194938
Contributor : Kamilia Abdani <>
Submitted on : Wednesday, February 26, 2020 - 5:17:23 PM
Last modification on : Wednesday, July 15, 2020 - 10:36:13 AM
Long-term archiving on: : Wednesday, May 27, 2020 - 7:44:41 PM
Contributor : Kamilia Abdani <>
Submitted on : Wednesday, February 26, 2020 - 5:17:23 PM
Last modification on : Wednesday, July 15, 2020 - 10:36:13 AM
Long-term archiving on: : Wednesday, May 27, 2020 - 7:44:41 PM
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