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Xianwen Zeng
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Author
Publications (5)
Proceedings Article | 5 July 2024 Paper
Research on transformer fault diagnosis method based on feature selection and random forest
Kai Zou, Xianwen Zeng, Guige Gao
Proceedings Volume 13184, 131840Y (2024) https://doi.org/10.1117/12.3032947
KEYWORDS: Transformers, Feature selection, Random forests, Mathematical optimization, Evolutionary algorithms, Diagnostics, Performance modeling, Gases, Detection and tracking algorithms, Particle swarm optimization
Proceedings Article | 27 October 2023 Paper
Transformer fault diagnosis based on IWOA optimized XGBoost
Sidan Lu, Xianwen Zeng
Proceedings Volume 12922, 129221S (2023) https://doi.org/10.1117/12.3008720
KEYWORDS: Transformers, Mathematical optimization, Evolutionary algorithms, Diagnostics, Data modeling, Statistical modeling, Optical spheres, Machine learning, Education and training, Support vector machines
Proceedings Article | 27 October 2023 Paper
Research on defect recognition method of transmission line insulators
Yi Zhu, Xianwen Zeng
Proceedings Volume 12922, 1292212 (2023) https://doi.org/10.1117/12.3008690
KEYWORDS: Dielectrics, Detection and tracking algorithms, Inspection, Education and training, Object detection, Convolution, Neurons, Data modeling, Unmanned aerial vehicles, Target detection
Proceedings Article | 27 October 2023 Paper
A method of laser point cloud electric line positioning for drone avoidance
Xintao Zhu, Xianwen Zeng
Proceedings Volume 12922, 1292215 (2023) https://doi.org/10.1117/12.3008611
KEYWORDS: Point clouds, Data modeling, Matrices, Clouds, Detection and tracking algorithms, Tunable filters, Picosecond phenomena, Unmanned aerial vehicles, Statistical modeling, Reconstruction algorithms
Proceedings Article | 27 October 2023 Paper
Fault diagnosis of rolling bearing based on the combination of VMD-ESA and the optimized GBRF
Meng Gao, Xianwen Zeng
Proceedings Volume 12922, 1292217 (2023) https://doi.org/10.1117/12.3008559
KEYWORDS: Random forests, Mathematical optimization, Feature extraction, Decision trees, Education and training, Cross validation, Statistical modeling, Signal processing, Matrices, Vibration
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