Analysis and Study of Transmission Line Icing Based on Grey Correlation Pearson Combinatorial Optimization Support Vector Machine

Han, Shunjie; Li, Dongqi; Li, Keyu; Wu, Hanye; Gao, Yingming; Zhang, Yu; Yuan, Ruihan

doi:10.1016/j.measurement.2024.115086

Measurement

2024

DOI: 10.1016/j.measurement.2024.115086

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Analysis and Study of Transmission Line Icing Based on Grey Correlation Pearson Combinatorial Optimization Support Vector Machine

Shunjie Han,

Dongqi Li,

Keyu Li

et al.

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Cited by 4 publications

References 26 publications

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Optimization of multidimensional feature engineering and data partitioning strategies in heart disease prediction models

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Zhang,

Liu

et al. 2024

Alexandria Engineering Journal

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Optimization of multidimensional feature engineering and data partitioning strategies in heart disease prediction models

Wang,

Zhang,

Liu

et al. 2024

Alexandria Engineering Journal

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Quantitative Analysis of the Teaching Effectiveness of the Language Acquisition Model in Japanese Language and Culture Education

Chen

2024

Applied Mathematics and Nonlinear Sciences

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In the process of applying traditional teaching forms, problems such as low participation in classroom activities and poor independent learning are gradually highlighted. This paper first designs the task-based cooperative language acquisition model then constructs the supervision and management system for cooperative learning, and finally establishes the evaluation mechanism for task-based cooperative learning. This paper uses the questionnaire survey method, Pearson correlation coefficient method, principal component analysis method, and multiple regression analysis methods as data analysis methods. By establishing a mathematical model, the parameters to be estimated are listed, and then these data are fitted, and finally, a statistical analysis is performed. Through the questionnaire survey method, this paper verified that the method had a positive effect on students’ Japanese learning; 46.2% of students enjoyed learning Japanese, and 92.3% participated in group discussions. The effectiveness of Japanese language teaching was assessed by extracting three main factors through principal component analysis, which were summarised as pre-study performance, classroom performance, and individual thinking performance. Under the language acquisition model, teachers can improve students’ learning effectiveness by monitoring and encouraging their performance on these three indicators.

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An Enhanced Multiscale Retinex, Oriented FAST and Rotated BRIEF (ORB), and Scale-Invariant Feature Transform (SIFT) Pipeline for Robust Key Point Matching in 3D Monitoring of Power Transmission Line Icing with Binocular Vision

Nusantika,

Xiao,

2024

Electronics

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Power transmission line icing (PTLI) poses significant threats to the reliability and safety of electrical power systems, particularly in cold regions. Accumulation of ice on power lines can lead to severe consequences, such as line breaks, tower collapses, and widespread power outages, resulting in economic losses and infrastructure damage. This study proposes an enhanced image processing pipeline to accurately detect and match key points in PTLI images for 3D monitoring of ice thickness using binocular vision. The pipeline integrates established techniques such as multiscale retinex (MSR), oriented FAST and rotated BRIEF (ORB) and scale-invariant feature transform (SIFT) algorithms, further refined with m-estimator sample consensus (MAGSAC)-based random sampling consensus (RANSAC) optimization. The image processing steps include automatic cropping, image enhancement, feature detection, and robust key point matching, all designed to operate in challenging environments with poor lighting and noise. Experiments demonstrate that the proposed method significantly improves key point matching accuracy and computational efficiency, reducing processing time to make it suitable for real-time applications. The effectiveness of the pipeline is validated through 3D ice thickness measurements, with results showing high precision and low error rates, making it a valuable tool for monitoring power transmission lines in harsh conditions.

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Analysis and Study of Transmission Line Icing Based on Grey Correlation Pearson Combinatorial Optimization Support Vector Machine

Cited by 4 publications

References 26 publications

Optimization of multidimensional feature engineering and data partitioning strategies in heart disease prediction models

Optimization of multidimensional feature engineering and data partitioning strategies in heart disease prediction models

Quantitative Analysis of the Teaching Effectiveness of the Language Acquisition Model in Japanese Language and Culture Education

An Enhanced Multiscale Retinex, Oriented FAST and Rotated BRIEF (ORB), and Scale-Invariant Feature Transform (SIFT) Pipeline for Robust Key Point Matching in 3D Monitoring of Power Transmission Line Icing with Binocular Vision

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