Detection method for dam deformation of tailing pond based on fault diagnosis algorithm

Author:

Meng Xiaoli1

Affiliation:

1. Department of Engineering, Xi’an International University, Xi’an, China

Abstract

The existing methods of dam deformation detection of tailings reservoir have the problems of poor accuracy and slow speed. Therefore, a fault diagnosis algorithm based on tailing dam deformation detection method is proposed. The grey theory is used to accumulate the original feature sequence, and the first cumulative sequence is obtained. Based on this, the grey detection model is constructed, and then the concrete deformation of tailings dam body is accurately detected by precision test. Experimental results show that the method has high accuracy, high speed and practicability

Publisher

National Library of Serbia

Subject

Renewable Energy, Sustainability and the Environment

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Safety Monitoring Methods of Dam Structure Deformation Based on Improved Support Vector Machine;2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST);2021-12-10

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