On the application of auto-regression for prediction of dam’s movement monitoring of hydropower plants

https://tapchi.humg.edu.vn/en/archives?article=900
  • Affiliations:

    Khoa Trắc địa - Bản đồ và Quản lý đất đai, Trường Đại học Mỏ - Địa chất, Việt Nam

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  • Received: 15th-June-2017
  • Revised: 20th-July-2017
  • Accepted: 28th-Feb-2018
  • Online: 28th-Feb-2018
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Abstract:

Auto-regression method, based on the variation of monitoring points, allows us to illustrate the correlation among the shifting value of the monitoring point throughout observed circles.. The paper is applied the auto-regression to establish the model, test the quality of the model using the statistic correlation, and predict the movement of observed points in dam of Yaly’s hydropower plant. Experimental analysis suggests that the auto-regression method is a good solution for prediction the tendency of movement monitoring. The difference between the predicted value and the measured value of two cycles over 6.2% and the smallest is 1.7% of the actual measurement value. Hence, the autoregression method can meet the requirement of prediction for soil and rock dam of hydropower plants in Vietnam

How to Cite
Pham, K.Quoc and Nguyen, P.Quang 2018. On the application of auto-regression for prediction of dam’s movement monitoring of hydropower plants (in Vietnamese). Journal of Mining and Earth Sciences. 59, 1 (Feb, 2018).

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