An electromagnetic multi-parameter strategy to detect faults in anchor rods using neural networks

Barbosa, Douglas; Medeiros, L.H.A. de; Melo, M. T. de; Novo, Lauro R. G. S. L.; Coutinho, M. S.; Alves, Marcelo; Santos, R. G. M. dos; Tarrago, V. L.; Neto, H. B. D. T. Lott; Gama, P. H. R. P.

doi:10.1109/imoc43827.2019.9317602

Cited by 1 publication

(2 citation statements)

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“…In addition to the frequency stability, a relationship may also be observed between the variations in position, depth and length of faults in the samples. Provided that a database composed by enough examples of faulty and normal bolts are generated, such relationships can be successfully mapped by machine learning models [4,5]. This way, information regarding position, depth and length of the faults may be indirectly assessed from the return loss results.…”

Section: Resultsmentioning

confidence: 99%

“…The literature presents a number of methods for assessing the wear on metal structures with reflectometry analysis, using time domain (TDR) [1][2][3][4], frequency domain (FDR) [5][6][7][8][9], or even a combination of both methods, called time and frequency (TFDR) [8,9]. However, none of these methods aim at assessing the integrity of fastening eye bolts.…”

Section: Introductionmentioning

confidence: 99%

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Design of a connector for fault detection in eye bolts used as insulator anchorages

Filho¹,

Coutinho²,

Melo³

et al. 2020

Eng. Res. Express

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Eye bolts are part of a system used to anchor electrical insulators in substations and on transmission lines, connected by concrete structures. Structural failures in these devices may lead to service interruption, financial losses and risks for the general population. In this article, we propose a signal adapter capable of applying and receiving high frequency signals to a portable vector network analyzer for the eye bolt. The technique consists of injecting high frequency signals into the samples in order to detect their integrity and analyzing their return loss (S11), using the principle of reflection and transmission lines. Should the eye bolt present a failure, the ∣S11∣ response is changed, thereby enabling its detection. The development of the adapter, for both intact and defective bolt models, was based on electromagnetic simulation models using the Ansys HFSS program. The measurements were made with models of real bolts presenting approximate wear, in order to validate the simulations.

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Section: Resultsmentioning

confidence: 99%