基于多相过器的高效多声源定位算法用于变压器故障
Hualiang Zhou1,2, Zhantao Su1,2, Yuxuan Huang3
1NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China.
Sensors (Basel, Switzerland)
|January 23, 2024
概括
早期检测功率变压器故障至关重要. 这项研究引入了一种使用多相过器和总差异单脉冲技术的新声音定位算法,用于准确的多故障识别,改善变压器维护.
科学领域:
- 电气工程和电力系统.
- 声学信号处理 声学信号处理
- 错误诊断 错误诊断 在
背景情况:
- 电力变压器故障,负责超过30%的问题,需要早期检测.
- 异常声音分析和基于麦克风阵列的声音源定位有助于故障排除.
- 现有的本地化方法在准确性,简单性和多个声音源方面扎.
研究的目的:
- 为电力变压器故障开发一个强大的多声源本地化算法.
- 为了提高精度和减少电力系统中故障定位的复杂性.
- 为了提高功率变压器的运行和维护效率.
主要方法:
- 使用多相过器将变压器声信号分成子带,以实现多源分离和减少采样率.
- 应用噪声抑制,并从时间域子频段信号中创建总差束.
- 采用快速里埃转换 (FFT) 进行频域转换和总差异单脉冲角度测量,用于高精度定位.
主要成果:
- 与现有方法相比,拟议的算法实现了更高的本地化准确性.
- 演示了减少计算复杂性,即使在现实世界麦克风阵列振幅相位错误的情况下.
- 成功实现了频率域中特定变压器故障的高精度定位.
结论:
- 这种新的算法有效地解决了当前用于变压器故障诊断的声音源本地化技术的局限性.
- 它的准确性,简单性和效率使其适用于电力系统维护中的实际应用.
- 有助于早期准故障源,显著提高变压器的运行安全性和维护效率.
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