电力设备状态评估的模糊推理算法

2016 Electric Power Quality and Supply Reliability (PQ) Pub Date : 2016-08-01 DOI:10.1109/PQ.2016.7724122

A. Khalyasmaa, S. Dmitriev

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引用次数: 2

摘要

提出了基于技术状态分析的电网设备技术维修周期修正和设备可靠性改进决策支持系统模型。本文还讨论了不同的神经模糊推理算法对电网设备有效运行决策支持系统的影响。

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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Fuzzy inference algorithms for power equipment state assessment

The decision support system model for electrical grid equipment technical maintenance and repair cycles correction as well as equipment reliability improvement on the basis of its technical state analysis is presented in the paper. The issues concerning the use of different neuro fuzzy inference algorithms and their impact on decision support systems operation for electrical grid equipment effective operation are also considered in the paper.

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来源期刊

2016 Electric Power Quality and Supply Reliability (PQ)

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