基于米网络的分销网络的故障语义网络中的知识实体的智能故障检测策略
Xinjie Sun1, Tao Qin1, Lingyun Tong1
1State Grid Nanjing Power Supply Company, Nanjing, China.
PloS one
|May 16, 2024
概括
本研究引入了一种新方法,用于检测智能电网语义网络中的故障,使用状态空间方程和米网络. 该方法通过识别知识实体变量异常来提高分销网络运营的可靠性.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 人工智能的人工智能
背景情况:
- 智能电网技术使分布网络的复杂语义网络模型成为可能.
- 这些模型的知识实体中的缺陷可能会导致验证失败和操作问题.
研究的目的:
- 为智能电网语义网络中的知识实体变量开发一种新的故障检测方法.
- 提高配送网络的可靠性和运营完整性.
主要方法:
- 构建一个状态空间方程来建模知识实体在故障期间的变量行为.
- 应用未知输入观察者策略来检测异常.
- 利用一个马网络来提高故障识别准确度.
主要成果:
- 拟议的方法有效地检测知识实体变量中的异常.
- 模拟证实了故障检测方法的有效性.
- 西安网络增强了错误状态的差异化.
结论:
- 开发的故障检测方法对于智能电网中的语义网络是有效的.
- 这项研究有助于提高配电网络运营的稳定性.
- 状态空间方程和米网络的集成为智能电网故障管理提供了一个有前途的解决方案.
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