Stress and Strain Determination Occurring in Contact Area of the 450/75 ACSR Conductor

Achiriloaiei, Daniel; Galatanu, Sergiu Valentin; Vetres, I.

doi:10.1088/1757-899x/416/1/012071

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…Bolted joints are used close to the pylons due to their high mechanical strength [17]. However, no available literature exists that describes their electrical behaviour; an acceptable alternative consists in modelling them with the better-known model of the solder joint, for which some information is available about its degradation mechanisms [18], [19]. The physical structure of the joint is shown in Figure 2a Δλ is the length of the junction region, d is its width and H its height.…”

Section: Joint Modellingmentioning

confidence: 99%

Neural Network-Based Fault Diagnosis of Joints in High Voltage Electrical Lines

Bindi¹,

Aizenberg²,

Belardi³

et al. 2020

Adv. sci. technol. eng. syst. j.

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In this paper a classification system based on a complex-valued neural network is used to evaluate the health state of joints in high voltage overhead transmission lines. The aim of this method is to prevent breakages on the joints through the frequency response measurements obtained at the initial point of the network. The specific advantage of this kind of measure is to be non-intrusive and therefore safer than other approaches, also considering the high voltage nature of the lines. A feedforward multi-layer neural network with multi-valued neurons is used to achieve the goal. The results obtained for power lines characterized by three and four junction regions show that the system is able to identify the health state of each joint, with an accuracy level greater than 90%.

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Section: Joint Modellingmentioning

confidence: 99%