GIS based multilevel intelligent fault diagnosis system on electric power equipment

Wendou An, Caixin Sun, Quan Zhou, Ji Yang
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引用次数: 1

Abstract

Along with the application which AM/FM/GIS has been used in distribution network strengthening, at present it has become a technique development direction that SCADA should integrate with AM/FM/GIS. In pace with electrified wire netting scale growing immensely, the equipment requirements are increasing and their function is more and more advanced. It can not satisfy the requirements of a practical system to adopt traditional concentrated and single fault diagnosis methods. We designed a distributed multilevel intelligent fault diagnosis method in this paper. First resolve the equipment fault diagnosis of the whole system into a fault diagnosis of each subsystem, then, according to the characteristic of the equipment type, transfer many sorts of fault diagnosis means from the knowledge-base to carry on cooperation fault diagnosis under the control of multilevel intelligent fault diagnosis tactics. Leave the final diagnosis result with a fault database to offer system-making-policy and alarm information.
基于GIS的电力设备多级智能故障诊断系统
随着AM/FM/GIS在配电网加固中的应用,目前SCADA与AM/FM/GIS的集成已成为一个技术发展方向。随着电网规模的不断扩大,对设备的要求越来越高,其功能也越来越先进。采用传统的集中、单一的故障诊断方法已不能满足实际系统的要求。本文设计了一种分布式多级智能故障诊断方法。首先将整个系统的设备故障诊断分解为各子系统的故障诊断,然后根据设备类型的特点,在多级智能故障诊断策略的控制下,从知识库中转移多种故障诊断手段进行协同故障诊断。将最终的诊断结果留给故障数据库,以提供系统制定策略和告警信息。
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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