Research on an Adaptive Method for Predicting the Remaining Life of the Roller Screw Pair of the Control Rod Drive Mechanism

Li Lin; Zhang Liming; Jiao Meng; Zhang Shuai; Wang Benmeng

doi:10.13832/j.jnpe.2022.03.0196

Volume 43 Issue 3

Jun. 2022

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Article Navigation > Nuclear Power Engineering > 2022 > 43(3): 196-201

Li Lin, Zhang Liming, Jiao Meng, Zhang Shuai, Wang Benmeng. Research on an Adaptive Method for Predicting the Remaining Life of the Roller Screw Pair of the Control Rod Drive Mechanism[J]. Nuclear Power Engineering, 2022, 43(3): 196-201. doi: 10.13832/j.jnpe.2022.03.0196

Citation:

Li Lin, Zhang Liming, Jiao Meng, Zhang Shuai, Wang Benmeng. Research on an Adaptive Method for Predicting the Remaining Life of the Roller Screw Pair of the Control Rod Drive Mechanism[J]. Nuclear Power Engineering, 2022, 43(3): 196-201. doi: 10.13832/j.jnpe.2022.03.0196

Citation:

Li Lin, Zhang Liming, Jiao Meng, Zhang Shuai, Wang Benmeng. Research on an Adaptive Method for Predicting the Remaining Life of the Roller Screw Pair of the Control Rod Drive Mechanism[J]. Nuclear Power Engineering, 2022, 43(3): 196-201. doi: 10.13832/j.jnpe.2022.03.0196

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Research on an Adaptive Method for Predicting the Remaining Life of the Roller Screw Pair of the Control Rod Drive Mechanism

doi: 10.13832/j.jnpe.2022.03.0196

1.
Wu Chang University of Technology, Wuhan, 430070, China
2.
Naval University of Engineering, Wuhan, 430033, China
3.
Unit 92001, Qingdao, Shandong, 266000, China

Received Date: 2021-03-25
Accepted Date: 2021-03-25
Rev Recd Date: 2022-03-14
Publish Date: 2022-06-07

Abstract

Abstract

Aiming at the problem of how to select effective health indicators and reasonably construct the prediction model in the remaining useful life (RUL) prediction of roller screw pair of reactor control rod drive mechanism (CRDM), a new RUL prediction model of roller screw pair is proposed. The negative logarithmic likelihood probability (NLLP) index based on the generated topology mapping algorithm (GTM) is used as the health index of the roller screw pair, and the K-means clustering algorithm is used to divide the NLLP index. Using historical data and online monitoring data, an adaptive prediction model based on Markov model and least mean square algorithm (LMS) is constructed, and the remaining life is predicted according to the set threshold. Through experimental verification, the results show that the health status indicators selected in this paper can effectively reflect the equipment status. The prediction accuracy of the proposed adaptive prediction model is higher than that of the general prediction model, which provides a basis for the reasonable construction of RUL prediction model.

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References(14)

References

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