基于免疫学的网格根故障检测系统

Qian-Mu Li, Manwu Xu, Hong Zhang
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引用次数: 6

摘要

根据仿生学的免疫学原理,提出了一种网格根故障检测系统。本文认为事件检测序列与肽序列类似。系统采用免疫学阳性选择原则,建立事件数据库。首先对频率较高的行为进行分析和处理,提高故障检测的速度和有效性。用该方法实现的实验系统具有良好的诊断能力
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Root-fault Detection System of Grid Based on Immunology
According to the immunology principles of bionics, a grid root-fault detection system is presented. In this paper event detection sequences are viewed as analogous to peptide. With the principle of positive selection in immunology, the system builds up its event database. And the behavior whose frequency is higher will be analyzed and processed first to improve the speed and effectiveness of fault detection. The experiment system implemented by this method shows a good diagnostic ability
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