模糊逻辑模式识别在负荷分接开关变压器维护中的应用

2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622) Pub Date : 2002-08-07 DOI:10.1109/NAFIPS.2002.1018091

P. Rastgoufard, F. Petry, B. Thumm, M. Montgomery

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引用次数: 3

摘要

本研究的目的是将硬c均值(HCM)和模糊c均值(FCM)规则应用于对应于不同负载分接开关(LTC)接触条件的聚类数据集。测量施加在LTC运动臂上的应力，然后将其转换为电压输出信号。结果表明，随着LTC接触条件的恶化，输出信号的重复模式也相应发生变化。HCM、FCM及其有效性度量证明是设备在线维护监控的有效工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Application of fuzzy logic pattern recognition in load tap changer transformer maintenance

The purpose of this investigation is to apply Hard C-Mean (HCM) and Fuzzy C-Mean (FCM) rules in clustering data sets that correspond to different Load Tap Changer (LTC) contact conditions. The stress exerted on the moving arm of a LTC is measured and is then converted to a voltage output signal. It is shown that as the LTC contact conditions deteriorate, the repetitive patterns of the output signal changes correspondingly. The HCM, FCM, and their validity measures prove to be suitable tools for online equipment maintenance monitoring.

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2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622)

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