一个基于PRPD的超高频过和降噪算法用于GIS部分放电
Weixing Fang1,2, Guojin Chen1,3, Wenxin Li1,3
1College of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
本研究引入了一种新的部分放电 (PD) 过算法,用于气体隔热开关设备 (GIS). 该方法有效地从噪声中提取弱PD信号,提高诊断精度和设备可靠性.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 诊断技术 诊断技术
背景情况:
- 在线检测部分放电 (PD) 对气体隔热开关设备 (GIS) 的可靠性至关重要.
- 从强噪声中提取弱PD信号是PD监控的一个重大挑战.
- 噪音干扰阻碍了PD类型的准确识别和定位.
研究的目的:
- 提出和评估一种基于PRPD的新过算法,用于在GIS中增强PD信号提取.
- 提高PD信号的灵敏度和纯度,以实现更可靠的诊断.
- 为应对在线PD检测系统中降低噪音的挑战.
主要方法:
- 基于PRPD的部分放电 (PD) 过算法的开发.
- 使用阶段解决部分放电 (PRPD) 输出信息对干扰的分析.
- 设置二次降噪处理的值参数.
主要成果:
- 实现了部分放电 (PD) 信号的有效获取.
- 该算法成功地保留了PD信号的固有特征.
- 证明了系统灵敏度和信号纯度的提高.
结论:
- 拟议的基于PRPD的过算法为PD检测中的二次噪声减少提供了有效的解决方案.
- 这种方法通过提高信号质量,提高了在GIS中在线PD监控的可靠性.
- 进一步的研究可以探索噪音源分析,以实现更强大的PD检测.
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