在高速空气流下,泛相机-连锁弧的理论建模和故障诊断
Bin Li1, Jiahui Shu2, Diansong Du1
1Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, 125105, China.
Scientific reports
|March 18, 2025
概括
这项研究引入了一个新的数学模型,用于泛相机-连锁弧,提高准确性和简化故障识别. 新型端口阻抗方法达到99%的准确性,避免复杂的算法可靠的弧形故障检测.
科学领域:
- 电气工程 电气工程
- 物理 物理学 物理
- 计算机建模 计算建模
背景情况:
- 传统的泛相机-连锁弧模型在空气流-电压梯度关系中表现出不准确.
- 现有的故障识别方法依赖于复杂的特征提取和电压或电流数据算法.
研究的目的:
- 开发一个更准确的数学弧形模型,包括空气流速和弧形电流.
- 引入和验证端口阻抗概念,以简化弧形故障识别.
主要方法:
- 通过将空气流速和弧流与哈贝丹克模型相结合,推出了一个新的弧形模型.
- 使用PSCAD模拟和实验室实验验证实了模型,计算了斯皮尔曼相关系数.
- 分析了使用端口阻抗的弧线故障识别的可行性.
主要成果:
- 新的弧形模型表明模拟和实验数据 (斯皮尔曼系数) 之间的高相关性.
- 端口阻抗简化了弧线故障诊断,将其转化为线性可分离的问题.
- 支持矢量机器分类实现了99%的识别准确度,没有优化.
结论:
- 拟议的数学弧形模型提高了准确性,并为改进故障检测提供了基础.
- 端口阻抗提供了一种计算效率高且高度准确的方法,用于识别泛光机-连锁电弧故障.
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