Power Cables Quality Diagnostics

Bryakin, Ivan V.; Bochkarev, Igor V.; Khramshin, Vadim R.

doi:10.1109/rusautocon.2018.8501787

Cited by 4 publications

(3 citation statements)

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“…Source data for mathematical modeling is shown in Figure 1, which presents the increase in the WEG fixed assets wear over 2013-2017. While the overall wear of fixed assets fluctuates, as those are partially retrofitted or overhauled, the OPL and SS equipment wear is only increasing [20,21].…”

Section: Research Resultsmentioning

confidence: 99%

Structure, condition, and prospects of electrical grids in the Republic of Sakha (Yakutia)

et al. 2019

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The paper analyzes the condition of electrical grids in the west of the Republic of Sakha (Yakutia); data sampled for the last 10 years. It demonstrates the geographic location of grids, which defines the scale of the study. Technical indicators are presented for 10 years; they reflect an increase in the fixed assets. The paper derives mathematical models of the wear of transmission equipment used in the western grids. It proves that the condition of equipment will deteriorate further unless its maintenance is properly funded. The paper analyzes the prospects of electrical grids in the Republic of Sakha (Yakutia). It presents a program for local energy optimization. The costs associated with five alternative development scenarios are calculated and presented in a tabular format.

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Section: Research Resultsmentioning

confidence: 99%

Structure, condition, and prospects of electrical grids in the Republic of Sakha (Yakutia)

et al. 2019

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“…This makes it difficult to test electrical cables with this method. This method allows to detect defects in the conductive cable elements under non-conductive coating [27]. However, the effectiveness of the control depends on the extent of how thermally thin this coating is.…”

Section: Analysis Of Well-known Electrical Cable Fault Location Methodsmentioning

confidence: 99%

Nondestructive Testing Method Based on the Spin Polarization Effect Template

2020

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This paper proposes a novel nondestructive testing method for electrically conductive objects. It is based on applying a fundamentally new physical effect which has not been used before in nondestructive testing systems. The method utilizes spin polarization phenomena that occur when free electrons of conductive materials are exposed to an alternating electric field. Researchers experimented with wire and cable conductors. A tested cable was moving longitudinally and exposed to an alternating electric field, which excited a waveform process, i.e. the polarization of spin magnetic moments of free electrons. An induction sensor registered this process and generated a control signal: induction EMF. Its parameters were compared against that of a reference signal obtained in advance in the same way utilizing spin polarization phenomena. Parametric deviations were then used to detect and classify conductor defects. The paper describes how to generate a reference signal appropriate for the objectives of testing. The developed method enables nondestructive testing of objects made of any conductive para-and diamagnetic materials, while it accuracy and reliability are not affected by the magnitude or evenness of the object movement speed, nor by vibrations or transverse oscillations against the physical field source or the induction sensor.

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“…As most industrial equipment and production systems have components made of ferromagnetic structural materials such as steel or cast iron, the magnetic measurement-based NDT of their quality is most advisable [ 7 , 8 , 9 , 10 , 11 ]. We can specify the following examples of the most common and critical objects containing ferromagnetic components requiring periodic NDT during the entire service life without violating their functions: lifting mechanisms containing steel cables and ropes [ 12 , 13 ], power transmission lines based on, e.g., cables with steel-aluminum wires or ferromagnetic shields [ 14 ], steel or cast-iron pipelines [ 15 ], and various rolled metal products (sheet, section, shaped) [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Fluxgate Sensor with Bifactor Excitation Mode

Bryakin

Bochkarev

Khramshin

et al. 2023

Sensors

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The paper considers non-destructive testing (NTDs) as a means to solve the flaw detection problems of magnetic products. It proposes a new probe-coil magnetic-field NDT, not requiring the pre-magnetization of the test object material, which is mandatory for all conventional magnetic flaw detection techniques. A new bifactor excitation of the fluxgate sensor’s sensitive element, based on double μ-transformation through the simultaneous activation of magnetic-modulating and electromagnetic-acoustic effects, is theoretically justified. The physical processes underlying the proposed technique are considered in detail, and a scheme for its practical implementation is described. The authors provide a variant of the new fluxgate’s original design, implementing the proposed excitation technique. The specifics of implementing the fluxgate operating modes are analyzed, testifying to the possibility of detecting a given class of flaws with the required coverage as well as ensuring the required diagnostic resolution during flaw detection, which, in fact, indicates a more reliable identification of both the flaw type and location. Herewith, the new fluxgate type features the advantages of improved functionality and lower cost due to its simple design. The paper also considers a method to experimentally study the capabilities of the proposed fluxgate sensor with a new bifactor excitation in detail. The results of the experimental study into its key specifications are provided, confirming its high resolution, narrower zone of uncertainty, and the possibility of detecting smaller flaws at greater depths compared to available analogs.

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Power Cables Quality Diagnostics

Cited by 4 publications

References 0 publications

Structure, condition, and prospects of electrical grids in the Republic of Sakha (Yakutia)

Structure, condition, and prospects of electrical grids in the Republic of Sakha (Yakutia)

Nondestructive Testing Method Based on the Spin Polarization Effect Template

Fluxgate Sensor with Bifactor Excitation Mode

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