Fault Investigation and Analysis of an Overhead Transmission Line Vibration Damper

Hickey, Conor; Young, Paul R.; Mayomi, Tolulope; Noctor, Jason

doi:10.1109/upec50034.2021.9548196

Cited by 2 publications

(4 citation statements)

References 9 publications

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“…In this case, there are several values that cannot be correlated to the same fundamental frequency. Nevertheless, these values do not exhibit any evolution over the course of the day and they are likely to be correlated with mechanical oscillations of the tower that are transferred to the cable [48] or other vibration phenomena [49]. Fig.…”

Section: Resultsmentioning

confidence: 92%

Overhead Transmission Line Sag Monitoring Using a Chirped-Pulse Phase-Sensitive OTDR

Canudo,

Sevillano,

Iranzo

et al. 2024

IEEE Sensors J.

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The capacity of overhead transmission lines is fixed and determined by the physical properties of the line, which are estimated based on worst-case weather scenarios. Exceeding the capacity limit can cause the conductor to increase the sag excessively, bringing it too close to the ground and creating a safety risk. Real-time monitoring of the sag value enables dynamic capacity configuration, thereby reducing safety risks and improving the efficiency of the transmission line. Distributed acoustic sensing based on Chirped-Pulse Phase-Sensitive Optical Time Domain Reflectometry (CP-ΦOTDR) can be used to measure the vibration induced by wind on the cable line taking advantage of the optical fiber already deployed in the power line. An analysis of the recovered strain in the frequency domain reveals multiple frequency components related to the cable's current mechanical state. By identifying the fundamental frequency, it becomes possible to quantitatively calculate the sag. Tracking the central frequency of each span allows for the monitoring of the sag for each span of the line using just one single-end interrogator.

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Section: Resultsmentioning

confidence: 92%

Overhead Transmission Line Sag Monitoring Using a Chirped-Pulse Phase-Sensitive OTDR

Canudo,

Sevillano,

Iranzo

et al. 2024

IEEE Sensors J.

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“…In addition to using common optical images, there is also research that uses other imaging equipment and auxiliary devices to perform detection tasks. For example, a robot is used to reset the vibration damper [14,17,31], and the damage of the vibration damper is detected based on LiDAR data [13]. The damping of the vibration damper is detected based on sensors such as optical ground wire (OPGW) and an all-dielectric self-supporting (ADSS) optical cable [32].…”

Section: Auxiliary Equipmentmentioning

confidence: 99%

“…The attention mechanism is based on the edge information obtained by the canny algorithm, and performs a convolution operation to obtain the attention weight matrix a. The expression of the convolution operation is shown in Equation (13).…”

Section: Attention Mechanismmentioning

confidence: 99%

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Transmission Line Vibration Damper Detection Using Deep Neural Networks Based on UAV Remote Sensing Image

Chen

Zhao

2022

Sensors

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Vibration dampers can greatly eliminate the galloping phenomenon of overhead transmission wires caused by wind. The detection of vibration dampers based on visual technology is an important issue. The current vibration damper detection work is mainly carried out manually. In view of the above situation, this article proposes a vibration damper detection model named DamperYOLO based on the one-stage framework in object detection. DamperYOLO first uses a Canny operator to smooth the overexposed points of the input image and extract edge features, then selectees ResNet101 as the backbone of the framework to improve the detection speed, and finally injects edge features into backbone through an attention mechanism. At the same time, an FPN-based feature fusion network is used to provide feature maps of multiple resolutions. In addition, we built a vibration damper detection dataset named DamperDetSet based on UAV cruise images. Multiple sets of experiments on self-built DamperDetSet dataset prove that our model reaches state-of-the-art level in terms of accuracy and test speed and meets the standard of real-time output of high-accuracy test results.

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Fault Investigation and Analysis of an Overhead Transmission Line Vibration Damper

Cited by 2 publications

References 9 publications

Overhead Transmission Line Sag Monitoring Using a Chirped-Pulse Phase-Sensitive OTDR

Overhead Transmission Line Sag Monitoring Using a Chirped-Pulse Phase-Sensitive OTDR

Transmission Line Vibration Damper Detection Using Deep Neural Networks Based on UAV Remote Sensing Image

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