Application of temperature field modeling in monitoring of optic-electric composite submarine cable with insulation degradation

Zhi-niu, XU; Hu, Zhiwei; Zhao, Lijuan; Zhang, Yi; Yang, Zhi; Hu, Shixun; Li, Yongqian

doi:10.1016/j.measurement.2018.10.028

Cited by 20 publications

(10 citation statements)

References 22 publications

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“…The proposed technique has displayed effectiveness in insulation damage quantification of ABCs subjected to varying degrees of coastal climate. The use of real in-service thermal degradation data in this research adds value as compared to many conventional laboratory based testing methods [10,14]. It is pertinent that the effect of environmental factors, contributing to cable deterioration, is already encapsulated within the acquired thermal data.…”

Section: Discussionmentioning

confidence: 99%

“…Significant contributions are present in literature pertaining to cable degradation studies using numerical simulations and experimental assessments in lab environment. Zhiniu Xu et al constructed a finite element numerical model for the temperature field of optic-electric composite submarine cable to monitor the insulation degradation effectively [10]. An integrated approach was presented by T. V. Santhosh et al to predict the lifetime of instrumentation and control cables of Nuclear Power Plant by artificial neural network [11].…”

Section: Introductionmentioning

confidence: 99%

“…Zhiniu Xu et al. constructed a finite element numerical model for the temperature field of optic‐electric composite submarine cable to monitor the insulation degradation effectively [10]. An integrated approach was presented by T. V. Santhosh et al.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Degradation assessment of in‐service aerial bundled cables in coastal areas leading to prognosis using infrared thermography

Hassan¹,

Khan²,

Abbas³

et al. 2020

IET Generation Trans & Dist

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Of late, cross-linked polyethylene insulated aerial bundled cables have replaced conventional copper conductors being resistant to electricity pilferage, offer lower maintenance costs and reduced power losses. However, in coastal areas, aerial bundled cables experience frequent insulation breakdown causing sudden cable failures leading to unexpected power shutdowns. Condition monitoring, employing sophisticated diagnostic techniques, has thus become a major requirement of the energy sector. The reported research work utilizes infrared thermography as one such candidate NDT technique. A novel framework is proposed to investigate the progressive shift in the statistical parameters of the temperature distribution in aerial bundled cables' insulation, as it degrades over time. The cumulative distribution function of pixel intensity data from a healthy/ operational aerial bundled cable is first compared with a reported failed aerial bundled cable. A prominent difference in 0.9 cumulative distribution function values is observed in the temperature distributions. Therefore, 0.9 cumulative distribution function values are used for degradation quantification with respect to ageing. Degradation rates are then computed using periodically acquired thermographic data from operational aerial bundled cables, installed at two different locations in a coastal region, each subjected to different marine climate. The proposed technique proved effective in degradation rate assessment of insulation of operational aerial bundled cables. Consequently, the results achieved can also be utilized for remaining useful life prediction of these cables. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Degradation assessment of in‐service aerial bundled cables in coastal areas leading to prognosis using infrared thermography

Hassan¹,

Khan²,

Abbas³

et al. 2020

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…Second, computational fluid dynamic (CFD) and finite element methods (FEM) can also be used to study this thermal balance and to recreate different types of conductors and operation and weather conditions [ 13 , 14 ] and finally, direct or indirect measurement methods of some line parameters can be used to estimate the temperature of the conductor [ 15 , 16 , 17 ]. All the previous methods were used to check the reliability of the infrared thermometer measurements.…”

Section: Methodsmentioning

confidence: 99%

Infrared Temperature Measurement Sensors of Overhead Power Conductors

Castro

Lecuna

Canteli

et al. 2020

Sensors

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Efficiency in power lines operation is becoming more crucial as the electrification increases and more renewable energies are connected into the grid. New methods and sensors are being added to create smart grids to face these challenges and conductor temperature sensors are one of them. Contact temperature sensors have several problems regarding safety and electronic damage due to the electromagnetic fields induced on the conductors. The goal of this paper is to describe an infrared temperature measurement sensor and to compare contact and non-contact temperature measurements to estimate the temperature of power lines. Measurements were done for almost a year, storing around 150,000 measures of contact and infrared thermometers for many different weather and load conditions. The results conclude that the infrared system can be successfully used to control the temperature of the overhead conductor within a range of less than 4 ∘C difference with respect to contact temperature methods for the 88% of the samples and less than 6 ∘C for the 99%.

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“…In recent years, thanks to the rapid development and application of optical fiber sensing technology, the relevant operating parameters of the submarine cable can be obtained in real-time (Fang et al, 2020;Antonio et al, 2021;Miguel et al, 2021;Cao et al, 2022), such as temperature, disturbance, strain, and other information of the submarine cable. These monitoring data can be used for operating condition evaluation and condition prediction (Lv et al, 2014;Xu et al, 2019), so as to understand the health status of the submarine cable, and the preventive maintenance can be carried out in a targeted manner, thereby improving the operation reliability of the offshore integrated energy system.…”

Section: Introductionmentioning

confidence: 99%

Condition prediction of submarine cable based on CNN-BiGRU integrating attention mechanism

Yang

Huang²,

Zhang³

et al. 2022

Front. Energy Res.

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As the lifeline of energy supply for various offshore projects, accurately evaluating and predicting the operation status of submarine cables are the foundation for the reliable operation of energy systems. Based on fully mining the dynamic and static characteristics of submarine cable operation and maintenance data, this paper proposes a submarine cable operation status prediction method based on a convolutional neural network—bidirectional gated recurrent unit (CNN-BiGRU) integrating attention mechanism. Firstly, the evaluation index system of the submarine cable operation status is established by considering three key influencing factors including online monitoring, routine inspection, and static test. Then, the operation condition evaluation model for submarine cable is constructed based on the cooperative game theory and the multi-level variable weight evaluation. Finally, the CNN-BiGRU combined neural network model integrating the attention mechanism is established, and the historical operation data and condition quantification results (health value) are used as input characteristic parameters to predict the evolution trend of the operation status of the submarine cable. The case study shows that the proposed method can effectively predict the operation status of submarine cables, and the root mean square error of the prediction is as low as 1.36%, which demonstrates the superior performance compared with the back propagation (BP) neural network, CNN, long short-term memory (LSTM), CNN-LSTM, and other algorithms.

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Application of temperature field modeling in monitoring of optic-electric composite submarine cable with insulation degradation

Cited by 20 publications

References 22 publications

Degradation assessment of in‐service aerial bundled cables in coastal areas leading to prognosis using infrared thermography

Degradation assessment of in‐service aerial bundled cables in coastal areas leading to prognosis using infrared thermography

Infrared Temperature Measurement Sensors of Overhead Power Conductors

Condition prediction of submarine cable based on CNN-BiGRU integrating attention mechanism

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