在基于超声波的开关装置中研究和实施多个本地排放源的定位
Dijian Xu1, Yao Huang1, Apurba Deb Mitra2
1School of Electronic and Electrical Engineering, Chongqing University of Science & Technology, Chongqing 401331, China.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
本研究介绍了一种超声波方法,用于在高压开关设备中在线,多源部分放电定位. 新方法提高了准确性和降低噪音,以改善故障检测.
科学领域:
- 电气工程 电气工程
- 声学信号处理 声学信号处理
- 高压技术的高压技术
背景情况:
- 当前开关设备的部分放电检测主要是离线的,限制了对多个放电源的同时监测.
- 现有的方法在低信号噪声比环境中难以准确的时间差采集.
- 多个部分放电源的定位对传统的到达时间差 (TDOA) 算法提出了挑战.
研究的目的:
- 研究超声波技术的应用,用于在线定位高压开关设备中部分放电故障.
- 开发先进的算法,以提高时间差估计和源分离的准确性.
- 为了使多个部分放电源的同时定位.
主要方法:
- 软硬过技术用于减少部分放电信号的背景噪声.
- 基于到达时间差异 (TDOA) 的通用立方相关算法被开发出来,以提高时间差异获取的准确性.
- 单通道信号盲源分离,奇点光谱分析和独立组件分析 (ICA) 用于识别和分离多个放电源.
- 提出了一种无序坐标选择方法,用于确定多个源的坐标.
主要成果:
- 降噪方法有效地消除了干扰,同时保留了关键的部分放电信号.
- 与其他相关性算法相比,改进的通用立方相关性算法表现出对干扰的优越抵抗力,并将本地化误差降低了17-68毫米.
- 该系统成功地定位了多个排放源,在识别源数时的准确率为88%.
结论:
- 超声波技术与先进的信号处理技术相结合,为在线,多源部分放电定位在高压开关设备中提供了可行的解决方案.
- 开发的通用立方相关算法和基于ICA的源分离显著提高了本地化准确性和可靠性.
- 这种方法比预先改进的方法有了实质性的进步,提高了电气基础设施的安全性和维护.
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