Vibration Signal Processing and State Analysis Technology for On-Load Tap-Changer

Zhixian Zhang, Weigen Chen, J. Lei, Hongrui Gu
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引用次数: 1

Abstract

Extracting key information from OLTC (On-Load Tap-Changer) vibration signal which contain a lot of redundant information and noise is the premise to achieving precise OLTC state diagnosis. In this paper, a Wiener filter algorithm for OLTC vibration signal is designed to adaptively reduce noise in on-site application; then a method for extracting vibration signal envelopes based on the principle of diode envelope detection is designed to acquire envelope of OLTC vibration signal and current signal of OLTC drive motor. Finally, several key parameters were extracted from the envelopes to analyze the operating states of OLTC.
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有载分接开关振动信号处理与状态分析技术
从含有大量冗余信息和噪声的有载分接开关振动信号中提取关键信息是实现有载分接开关状态精确诊断的前提。本文设计了一种针对OLTC振动信号的维纳滤波算法,可在现场应用中自适应降噪;然后设计了一种基于二极管包络检测原理的振动信号包络提取方法,获取OLTC振动信号和OLTC驱动电机电流信号的包络。最后,从包络中提取几个关键参数,分析OLTC的运行状态。
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Diagnostika 2020 Blank Page Vibration Signal Processing and State Analysis Technology for On-Load Tap-Changer Improved electrical performance of BOPP films by acidic treatment at an elevated temperature Alternative Insulating Fluids – Interpretation of Test Results Research on EMC Tests for Economical High-voltage AC Current Limiter of 500kV and Above
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