Traditionally, the replacement of products in construction machinery workshop is based on empirical cycles, although this strategy is simple, it cannot give full play to the full life of the products, resulting in underutilization, reduction of part accuracy, and increase of surface roughness. In order to solve the shortcomings of the existing research on life prediction of construction machinery workshop, this paper briefly discusses the selection of workshop construction machinery product samples and equipment parameter settings for the proposed life prediction model of construction machinery workshop based on the discussion of gated cyclic unit neural network and hydraulic motor life prediction criteria. And the design of the prediction model is discussed, and finally the prediction model is compared with the other two models for experimental analysis. The experimental data show that the prediction effect of the gated cyclic unit neural network is better than the other two models, and its prediction results are closer to the real life value. Its prediction accuracy reaches up to 94.8%. Therefore, it is verified that the gated recurrent unit neural network can make accurate prediction of the life time of the construction machinery workshop.

Warm Michael. Considering the Life Prediction of Construction Machinery Workshop. Kinetic Mechanical Engineering (2021), Vol. 2, Issue 4: 31-39. https://doi.org/10.38007/KME.2021.020404.

[1] Ma M, Liu X. Multiaxial fatigue life prediction for metallic materials considering loading path and additional hardening effect. International Journal of Structural Integrity, 2021, 13(3):534-563.

[2] Adel W M, Liang G. Service life prediction of AP/Al/HTPB solid rocket propellant with consideration of softening aging behavior. Chinese Journal of Aeronautics, 2019, 32(02):151-158. https://doi.org/10.1016/j.cja.2018.08.003

[3] Rai, Akhand, Upadhyay, et al. Intelligent bearing performance degradation assessment and remaining useful life prediction based on self-organising map and support vector regression. Proceedings of the Institution of Mechanical Engineers, Part C. Journal of mechanical engineering science, 2018, 232(6):1118-1132. https://doi.org/10.1177/0954406217700180

[4] Adegoke A S, Agbato S E, Jinadu A D, et al. Analysing the criteria for measuring the determinants of virtual reality technology adoption in real estate agency practice in Lagos: a DEMATEL method. Property Management, 2021, 40(3):285-301. https://doi.org/10.1108/PM-05-2021-0035

[5] Schneidermann N, Bach J S. Moral urban citizenship and the youth problem in a Danish ghetto. Journal of Organizational Ethnography, 2021, 11(1):20-34. https://doi.org/10.1108/JOE-12-2020-0055

[6] Vinkel, Kumar, Arora, et al. Mathematical modelling for fatigue life prediction of a symmetrical 65Si7 leaf spring. International Journal of Computer Aided Engineering and Technology, 2018, 10(3):287-319. https://doi.org/10.1504/IJCAET.2018.090535

[7] Yelegaonkar P. Right T&M instruments extend power plant life. Electrical India, 2018, 58(8):88-89.

[8] Bob, Neubauer. Major Facelift Brings In-plant Back to Life. In-plant graphics, 2018, 68(5):20-24.

[9] Shinohara A, Ibuki S I. Host Plant and Life History of Bamboo-feeding Sawfly, Tenthredo nigropicta (Hymenoptera, Tenthredinidae) in Japan. Bulletin of the National Museum of Nature and Science, 2018, 44(2):51-55.

[10] Dolley S. Xcel Energy plans to extend operating life of Monticello nuclear plant. Inside Nrc, 2019, 41(11):4-5.

[11] Hahnke, Sarah, Langer, et al. Proteiniborus indolifex sp nov. isolated from a thermophilic industrial-scale biogas plant. International Journal of Systematic and Evolutionary Microbiology, 2018, 68(3):824-828. https://doi.org/10.1099/ijsem.0.002591

[12] Arns O. Future challenges in machinery construction and plant engineering for the concrete industry: Developments and trends in mechanical engineering. Betonwerk + Fertigteil-Technik, 2019, 85(2):19-19.

[13] Fehintola A O, Awotunde O T, Ogunlaja O A, et al. Prospective Evaluation of Outcomes of Mechanical Devices in Women with Symptomatic Pelvic Organ Prolapse in Ogbomoso, South-Western Nigeria, 2021, 011(004):P.461-473. https://doi.org/10.4236/ojog.2021.114044

[14] Koura O M. Effect of Modifications on the Performance of Helical Gears. American Journal of Mechanical Engineering, 2021, 9(1):57-68.

[15] Gates P, Ibell T, Darby A, et al. GFRP durability appraisal: mechanical testing of naturally aged composite panels. Construction Materisls, 2018, 171(CM6):267-283. https://doi.org/10.1680/jcoma.17.00023

[16] Ashley. Structural and Mechanical Changes of Soft and Firm Polyurethane Stents: A Benchtop Study. Loma Linda University Student Journal, 2019, 3(2):7-7.

[17] Heye U, Rach C. Sieve belts with increased service life. Technische Textilien, 2019, 62(1):35-36.

[18] Justnes H. Aluminium Metal Reinforced Concrete - An Environmentally Friendly System With Infinite Service Life. The Indian concrete journal, 2020, 94(1):24-29.