基于小波和神经网络的室外高分子保温结构状态监测

2003 Annual Report Conference on Electrical Insulation and Dielectric Phenomena Pub Date : 2003-10-19 DOI:10.1109/CEIDP.2003.1254877

R. Sarathi, S. Chandrasekar, C. Venkataseshaiah, N. Yoshimura

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引用次数: 3

摘要

在交流和直流电压下进行跟踪研究，EPDM样品符合IEC-587标准。实验研究发现，电导率、流速和施加电压的增加都缩短了材料的跟踪时间。本文介绍了用多分辨率信号分解技术和人工神经网络监测交流电压下绝缘结构表面状态的方法。

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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Condition monitoring of outdoor polymeric insulation structures using wavelets and neural networks

Tracking studies were carried out under AC and DC voltage, with EPDM specimens following IEC-587 standards. It is observed from the experimental study that the increase in conductivity, flow rate and the applied voltage reduces the tracking time of the material. In the present work, use of multi resolution signal decomposition technique and the artificial neural networks to monitor the surface condition of the insulation structure under AC voltage was demonstrated.

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2003 Annual Report Conference on Electrical Insulation and Dielectric Phenomena

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