Intelligent identification algorithm and key point detection of abnormal vibration of transmission tower based on machine learning
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Huawei Hong
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Mengmeng Yue
Abstract
In some special geological areas, the inclination and displacement of transmission line towers are relatively common, which should be analyzed from various factors. Transmission towers are the support structure for overhead transmission lines and play a pivotal role in the safe operation of the power grid. Transmission lines are widely distributed. Transmission poles and towers are generally built in areas with poor geological conditions such as goaf, river bed and slope. Under severe weather conditions, the force on the tower may be affected to a certain extent, causing the tower to tilt, deform, or even collapse, and thus causing a wide range of power system failures, which have a great impact on people’s production and life. Based on this objective problem, this paper has mainly studied the intelligent recognition methods and key technologies based on machine learning. In the experimental study of support vector machine (SVM) model based on machine learning, the average training time of genetic algorithm support vector regression (GA-SVR) was the longest, reaching 1.462 s. The average training duration of double chain quantum genetic algorithm-least squares support vector regression (DCQGA-LSSVR) was the shortest, with 0.156 s. The average pose error of double chain quantum genetic algorithm-support vector regression (DCQGA-SVR) was the smallest, only 0.136, while the average attitude error of genetic algorithm-least squares support vector regression (GA-LSSVR) was the highest, reaching 0.45. Therefore, it is of the great significance to analyze abnormal vibration of the transmission towers based on machine learning method.
Funding source: Science and Technology Project of State Grid Corporation
Award Identifier / Grant number: Research on Key Technologies of Power and Communic
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: This work is supported by Science and Technology Project of State Grid Corporation (Research on Key Technologies of Power and Communication Towers, 5217L0190009).
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
1. Darestani Yousef, M, Shafieezadeh, A, Cha, K. Effect of modelling complexities on extreme wind hazard performance of steel lattice transmission towers. Struct Infrastruct Eng 2020;16:898–915. https://doi.org/10.1080/15732479.2019.1673783.Suche in Google Scholar
2. Hyeoncheol, B, Valenzuela, J. Unmanned aircraft system path planning for visually inspecting electric transmission towers. J Intell Rob Syst 2019;95:1097–111.10.1007/s10846-018-0947-9Suche in Google Scholar
3. Datsios Zacharias, G, Mikropoulos, PN, Tsovilis, TE. Effects of lightning channel equivalent impedance on lightning performance of overhead transmission lines. IEEE Trans Electromagn C 2019;61:623–30. https://doi.org/10.1109/temc.2019.2900420.Suche in Google Scholar
4. Chiranjit, B, Chakraborti, P. Analytical and experimental modal analysis of electrical transmission tower to study the dynamic characteristics and behaviors. KSCE J Civ Eng 2020;24:931–42.10.1007/s12205-020-1563-3Suche in Google Scholar
5. Tian, L, Zhang, X, Fu, X. Fragility analysis of a long-span transmission tower–line system under wind loads. Adv Struct Eng 2020;23:2110–20. https://doi.org/10.1177/1369433220903983.Suche in Google Scholar
6. Amir, M, Ali Jafari, M, Nasrollahzadeh, K. Reliability-based approach for fragility analysis of lattice transmission tower in the type test. Sci Iran 2022;29:1125–41.Suche in Google Scholar
7. Zhang, Q. Experimental study of wind loads on typical single-circuit transmission towers. Proc Inst Civ Eng-Struct Buil 2020;173:186–97. https://doi.org/10.1680/jstbu.17.00170.Suche in Google Scholar
8. Kadhim, SH, Ishak, MR, Sapuan, SM, Yidris, N, Fattahi, A. Experimental and numerical investigation of the mechanical behavior of full-scale wooden cross arm in the transmission towers in terms of load-deflection test. J Mater Res Technol 2020;9:7937–46. https://doi.org/10.1016/j.jmrt.2020.04.069.Suche in Google Scholar
9. Cheng, XX, Han, XL, Fei, QG. Structural health monitoring-oriented finite-element model for a large transmission tower. Int J Civ Eng 2018;16:79–92. https://doi.org/10.1007/s40999-016-0069-3.Suche in Google Scholar
10. Shu, Y, Chen, W. Research and application of UHV power transmission in China. High Volt 2018;3:1–13. https://doi.org/10.1049/hve.2018.0003.Suche in Google Scholar
11. Thakur, AK, Kumar Arya, A, Sharma, P. The science of alternating current-induced corrosion: a review of literature on pipeline corrosion induced due to high-voltage alternating current transmission pipelines. Corrosion Rev 2020;38:463–72. https://doi.org/10.1515/corrrev-2020-0044.Suche in Google Scholar
12. Jalali, MH, Geoff Rideout, D. Frequency-based decoupling and finite element model updating in vibration of cable–beam systems. J Vib Control 2022;28:1520–35. https://doi.org/10.1177/1077546321996936.Suche in Google Scholar PubMed PubMed Central
13. Salman, AM, Yue, L. A probabilistic framework for multi-hazard risk mitigation for electric power transmission systems subjected to seismic and hurricane hazards. Struct Infrastruct Eng 2018;14:1499–519. https://doi.org/10.1080/15732479.2018.1459741.Suche in Google Scholar
14. Zeynalian, M, Khorasgani, MZ. Structural performance of concrete poles used in electric power distribution network. Arch Civ Mech Eng 2018;18:863–76. https://doi.org/10.1016/j.acme.2018.01.005.Suche in Google Scholar
15. Adedipe, T, Shafiee, M. An economic assessment framework for decommissioning of offshore wind farms using a cost breakdown structure. Int J Life Cycle Assess 2021;26:344–70. https://doi.org/10.1007/s11367-020-01793-x.Suche in Google Scholar
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Artikel in diesem Heft
- Frontmatter
- Research Articles
- Intelligent identification algorithm and key point detection of abnormal vibration of transmission tower based on machine learning
- Design and development of power data service platform based on multi dimension
- Evaluation on power marketing decision evaluation based on Bayesian network
- Power monitoring data access control system based on BP neural network
- Investigation and application of key technologies of aggregated flash payment based on marketing blockchain in the context of massive distributed generation grid connection
- Research on RBF neural network adaptive control of three-point contactless measuring device for CNC roller grinder
- Measurement of surface vibration signal of 500 kV transformer and analysis of its frequency characteristics
- Evaluation on key technologies for the construction of low-carbon index of electric power based on “double carbon”
- Application scenario evaluation of modified converter for quadratic Boost high gain DC-DC: taking the constant off time control mode as an example
- Efficiency of artificial intelligence automatic control system and data processing unit based on edge computing technology
- Design of mountain fire prevention monitoring system for transmission lines based on machine vision algorithms
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Intelligent identification algorithm and key point detection of abnormal vibration of transmission tower based on machine learning
- Design and development of power data service platform based on multi dimension
- Evaluation on power marketing decision evaluation based on Bayesian network
- Power monitoring data access control system based on BP neural network
- Investigation and application of key technologies of aggregated flash payment based on marketing blockchain in the context of massive distributed generation grid connection
- Research on RBF neural network adaptive control of three-point contactless measuring device for CNC roller grinder
- Measurement of surface vibration signal of 500 kV transformer and analysis of its frequency characteristics
- Evaluation on key technologies for the construction of low-carbon index of electric power based on “double carbon”
- Application scenario evaluation of modified converter for quadratic Boost high gain DC-DC: taking the constant off time control mode as an example
- Efficiency of artificial intelligence automatic control system and data processing unit based on edge computing technology
- Design of mountain fire prevention monitoring system for transmission lines based on machine vision algorithms
