PSI - Issue 28

Evgeniia Georgievskaia et al. / Procedia Structural Integrity 28 (2020) 836–842 Evgeniia Georgievskaia/ Structural Integrity Procedia 00 (2020) 000–000

842

6. Conclusion The proposed predictive analytics system carefully considers all operating modes, take into account the contribution of each mode to the total accumulated fatigue damage, predict the optimal timing of the necessary repairs, reduces the risk of accidents and unplanned shutdowns by introducing smart maintenance of hydraulic turbines based on the development of the most effective, most reasonable and most economical strategy use of HPP’s equipment. So, you can significantly extend the life of the units and economy on the unit maintenance only realization the optimal scenarios of equipment usage.

Acknowledgements This work was carried out within the framework of the SKOLKOVO project with the support of FASIE, Russia.

References

Trudel, A., 2017. Recent trends in the design of hydropower components subjected to cycling and fatigue; towards improved technical design specifications. Hydrovision International 2017, Denver, USA (https://www.researchgate.net/publication/320310804_ Recent_trends_in_the_design_of_hydropower_components_subjected_to_cycling_and_fatigue_towards_improved_technical_design_specific ations/citations). Favrel, A., Gomes Pereira Junior, J., Landry, C., Alligné, S., Nicolet, C,. Avellan, F., 2019. Reduced scale model testing for prediction of eigenfrequencies and hydro-acoustic resonances in hydropower plants operating in off-design conditions. IOP Conf. Ser.: Earth Environ. Sci. 240, 022022. doi: 10.1088/1755-1315/240/2/022022 Favrel, A., Gomes Pereira Junior, J., Landry, C., Alligné, S., Andolfatto, L., Nicolet, C., Avellan, F., 2020. Prediction of hydro-acoustic resonances in hydropower plants by a new approach based on the concept of swirl number. Journal of Hydraulic Research 58:1, 87-104. doi: 10.1080/00221686.2018.1555556 Duparchy, F., Brammer, J., Thibaud, M., Favrel, A., Lowys, P.Y., Avellan F., Mechanical impact of dynamic phenomena in Francis turbines at off design conditions. J. Phys.: Conf. Ser. 813, 012035. doi:10.1088/1742-6596/813/1/012035 Sakamoto, M., Müller, A., Andolfatto, C., Hashii, T., Yamaishi, K., Avellan F., 2019. Experimental investigation and numerical simulation of flow in the draft tube elbow of a Francis turbine over its entire operating range. IOP Conf. Ser.: Earth Environ. Sci. 240, 072009. doi: 10.1088/1755 1315/240/7/072009 DIA TECH Monitoring and Diagnosis System, Andritz Hydro, 2015. https://pdfs.semanticscholar.org/ 7259/0274a10481ad0dcfd5a5befc33cdf84c8b70.pdf?_ga=2.253670409.1010097152.1584874762-246627361.1584874762. ISO 13373-7:2017 Condition monitoring and diagnostics of machines – Vibration condition monitoring – Part 7: Diagnostic techniques for machine sets in hydraulic power generating and pump-storage plants. ISO 20816-5:2018 Mechanical vibration – Measurement and evaluation of machine vibration – Part 5: Machine sets in hydraulic power generating and pump-storage plants. ISO 19283:2020 Condition monitoring and diagnostics of machines – Hydroelectric generating units. Valentín, D.; Presas, A.; Valero, C.; Egusquiza, M.; Egusquiza, E., 2019. Detection of Hydraulic Phenomena in Francis Turbines with Different Sensors. Sensors 19, 4053. Georgievskaia E., 2019. Effect of cracks on dynamic parameters and lifetime of hydraulic units. Procedia Structural Integrity 22, 229-234. doi.org/10.1016/j.prostr.2020.01.029