在干式变压器中定位机械和电气故障,使用优化的声学成像方法
Zhanxi Zhang1, Youyuan Wang1, Zhihe Li1,2
1State Key Laboratory of Power Transmission Equipment Technology, Chongqing University, Chongqing, People's Republic of China.
PloS one
|November 17, 2023
概括
本研究引入了一种声学成像系统,使用声音分析检测干型变压器缺陷. 优化的麦克风阵列和信号分类算法准确地定位诸如外来物体和松动螺丝等问题.
科学领域:
- 电气工程 电气工程
- 声学 声学 在声学方面
- 信号处理 信号处理
背景情况:
- 干式变压器在电力系统中至关重要.
- 检测缺陷对于运行可靠性至关重要.
- 声学监测提供了一个非侵入性的诊断方法.
研究的目的:
- 开发一个声学成像定位系统,用于识别干型变压器的常见缺陷.
- 提高声学缺陷检测方法的准确性和有效性.
- 为了研究特定变压器故障的声学特征.
主要方法:
- 使用粒子群优化的优化设计了一个优化的64元,8臂螺旋式麦克风阵列.
- 改进多重信号分类 (MSC) 算法,用于增强声学成像.
- 时间域信号转换为MSC的预处理频域信号.
- 组合子阵列和主阵列功率光谱,以改善本地化.
主要成果:
- 开发的系统有效地确定了干型变压器中常见的缺陷.
- 实验结果验证了该系统在现场条件下的高精度和有效性.
- 改进的MSC算法在杂环境中提高了声学成像质量.
结论:
- 声学成像定位系统为检测干式变压器缺陷提供了可行的解决方案.
- 优化的麦克风阵列和增强的MSC算法显著提高了诊断能力.
- 这种非侵入性技术为变压器状态监测提供了一个有希望的方法.
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