Skip to content
Licensed Unlicensed Requires Authentication Published by De Gruyter January 6, 2023

Weibull model for RUL estimation at RSG-GAS reactor implemented on PA01-AP01 secondary pump

  • Sri Sudadiyo EMAIL logo
From the journal Kerntechnik

Abstract

Remaining Useful Life (RUL) estimation has been extensively explored in recent years. RUL could be used in deciding the maintenance timeline or inspection interval for the Reaktor Serba Guna – G. A. Siwabessy (RSG-GAS reactor). RSG-GAS reactor is a pool-type research reactor (built by the Interatom Internationale of Germany) and has been operating for more than 30 years to date. This study aimed to propose a Weibull model to find the RUL estimation value of the distribution parameters of the mean time to failure (MTTF). Therefore, the RSG-GAS reactor would be higher safety, longer lifetime and higher reliability with a smaller failure rate including for the PA01-AP01 secondary pump. The research methodology is processing data collection and estimating the parameters of the Weibull model to determine maintenance timeline or inspection intervals based on the MTTF value in case the reliability has reached the targeted percentage. Results show that the RUL estimation has been obtained for the RSG-GAS reactor. In the implemented study, a maintenance timeline has been stipulated for the PA01-AP01 secondary pump (with the model of KSB and type of CPK-S350-400) for the reliability of 90% and RUL estimation of circa 29 days.


Corresponding author: Sri Sudadiyo, Research Center for Nuclear Reactor Technology, Research Organization for Nuclear Energy, National Research and Innovation Agency, Kawasan Puspiptek Gd. 80, 15310, Tangerang Selatan, Indonesia, E-mail:

Acknowledgments

The author wishes to express the appreciation to the group of RSG-GAS ageing management program for their efforts in raw data provisioning for further calculations processed in this article. The author would also like to acknowledge the support provided by the management of the Research Center for Nuclear Reactor Technology.

  1. Author contributions: The author has accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This study did not receive a specific grant from any funding agency in the public, commercial, or not-for-profit sector.

  3. Conflict of interest statement: The author declares no conflicts of interest regarding this article.

References

Abdelrazek, I.D., Aly, M.N., Badawi, A.A., and Elnour, A.G.A. (2014). Benchmarking RSG-GAS reactor thermal hydraulic data using Relap5 code. Ann. Nucl. Energy 70: 36, https://doi.org/10.1016/j.anucene.2014.02.023.Search in Google Scholar

Aven, T. (2013). Practical implications of the new risk perspectives. Reliab. Eng. Syst. Saf. 115: 136, https://doi.org/10.1016/j.ress.2013.02.020.Search in Google Scholar

Beznosov, A.V., Lvov, A.V., Bokov, P.A., Bokova, T.A., and Razin, V.A. (2017). Experimental studies into the dependences of the axial lead coolant pump performance on the impeller cascade parameters. Nucl. Energy Technol. 3: 141, https://doi.org/10.1016/j.nucet.2017.05.009.Search in Google Scholar

Boateng, P., Chen, Z., and Ogunlana, S.O. (2015). An analytical network process model for risks prioritization in megaprojects. Int. J. Proj. Manag. 33: 1795, https://doi.org/10.1016/j.ijproman.2015.08.007.Search in Google Scholar

Chatzidakis, S., Hainoun, A., Doval, A., Alhabet, F., Francioni, F., Ikonomopoulos, A., and Ridikas, D. (2014). A comparative assessment of independent thermal-hydraulic models for research reactor: the RSG-GAS case. Nucl. Eng. Des. 268: 77–86, https://doi.org/10.1016/j.nucengdes.2013.11.076.Search in Google Scholar

Fu, Q., Zhang, F., Zhu, R., and He, B. (2016). A systematic investigation on flow characteristics of impeller passage in a nuclear centrifugal pump under cavitation state. Ann. Nucl. Energy 97: 190, https://doi.org/10.1016/j.anucene.2016.07.011.Search in Google Scholar

Ghomghaleh, A., Khaloukakaie, R., Ataei, M., Barabadi, A., Qarahasanlou, A.N., Rahmani, O., and Pour, A.B. (2020). Prediction of remaining useful life (RUL) of Komatsu excavator under reliability analysis in the Weibull-frailty model. PLoS One 15: 1, https://doi.org/10.1371/journal.pone.0236128.Search in Google Scholar PubMed PubMed Central

Interatom. (1986). Description of cooling systems. Technical Document-MPR30 System.Search in Google Scholar

Kumar, V., Singh, L., and Tripathi, A.K. (2018). Reliability analysis of safety-critical and control systems. A state-of-the-art review. IET Softw. 12: 1, https://doi.org/10.1049/iet-sen.2017.0053.Search in Google Scholar

Li, Z., Jiang, W., Zhang, S., Xue, D., and Zhang, S. (2021). Research on prediction method of hydraulic pump remaining useful life based on KPCA and JITL. Appl. Sci. 11: 9389, https://doi.org/10.3390/app11209389.Search in Google Scholar

Liu, H.C., Liu, L., and Liu, N. (2013). Risk evaluation approaches in failure mode and effects analysis. Expert Syst. Appl. 40: 828, https://doi.org/10.1016/j.eswa.2012.08.010.Search in Google Scholar

Pujiarta, S., Nursaid, A., Taufiq, M., Busono, P., and Royadi (2016). Evaluation of misalignment between motor and pump of the G. A. Siwabessy reactor secondary cooling system (in Bahasa Indonesia). Bull. Nucl. Reactor Manag. 13: 19, https://doi.org/10.17146/bprn.2016.13.2.3892.Search in Google Scholar

Pusat Reaktor Serba Guna (2014). Ageing management program of RSG-GAS reactor (in Bahasa Indonesia). Technical Report Document.Search in Google Scholar

Qin, A., Zhang, Q., Hu, Q., Sun, G., He, J., and Lin, S. (2017). Remaining useful life prediction for rotating machinery based on optimal degradation indicator. Shock Vib. 2017: 6754968, https://doi.org/10.1155/2017/6754968.Search in Google Scholar

Ramadhan, A.A.Z.A. (2016). Preliminary study of the effect of operational parameters to performance of Tesla’s pump (Bahasa Indonesia), thesis. Faculty of Mechanical and Aerospace Engineering, Bandung Institute of Technology.Search in Google Scholar

Tse, Y.L., Cholette, M.E., and Tse, P.W. (2019). A multi-sensor approach to remaining useful life estimation for a slurry pump. Measurement 139: 140, https://doi.org/10.1016/j.measurement.2019.02.079.Search in Google Scholar

Received: 2022-09-06
Published Online: 2023-01-06
Published in Print: 2023-04-25

© 2022 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 28.3.2024 from https://www.degruyter.com/document/doi/10.1515/kern-2022-0080/html
Scroll to top button