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DETECTION METHOD FOR DAM DEFORMATION OF TAILING POND BASED ON FAULT DIAGNOSIS ALGORITHM

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
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PAPER SUBMITTED: 2019-06-09
PAPER REVISED: 2019-09-11
PAPER ACCEPTED: 2019-09-12
PUBLISHED ONLINE: 2020-02-08
DOI REFERENCE: https://doi.org/10.2298/TSCI190609013M
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2020, VOLUME 24, ISSUE 3, PAGES [1489 - 1496]
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© 2020 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence