In wide area backup protection of electric power systems, the prerequisite of protection device's accurate, fast and reliable performance is its corresponding fault type and fault location can be discriminated qui...In wide area backup protection of electric power systems, the prerequisite of protection device's accurate, fast and reliable performance is its corresponding fault type and fault location can be discriminated quickly and defined exactly. In our study, global information will be introduced into the backup protection system. By analyzing and computing real-time PMU measurements, basing on cluster analysis theory, we are using mainly hierarchical cluster analysis to search after the statistical laws of electrical quantities' marked changes. Then we carry out fast and exact detection of fault components and fault sections, and finally accomplish fault isolation. The facts show that the fault detection of fault component (fault section) can be performed successfully by hierarchical cluster analysis and calculation. The results of hierarchical cluster analysis are accurate and reliable, and the dendrograms of hierarchical cluster analysis are in intuition.展开更多
随着智能汽车技术的快速发展,其功能迭代速度持续加快且用户规模不断扩大,车载网络安全问题已然成为制约行业健康发展的关键因素。其中,控制器局域网(Controller Area Network,CAN)总线作为智能汽车内部通信的核心架构,承担着各电子控...随着智能汽车技术的快速发展,其功能迭代速度持续加快且用户规模不断扩大,车载网络安全问题已然成为制约行业健康发展的关键因素。其中,控制器局域网(Controller Area Network,CAN)总线作为智能汽车内部通信的核心架构,承担着各电子控制单元间数据交互的重任,但其缺乏加密与认证机制的设计缺陷,使其极易成为黑客攻击的突破口。针对这一现状,本研究聚焦于CAN总线入侵检测技术,提出一种基于改进型ResNet-18卷积神经网络的深度学习模型。该模型通过创新性地融入空间通道注意力机制,构建了多维度特征感知框架;同时采用颜色映射技术,将原始CAN报文序列转换为三通道彩色图像,实现了低维总线数据的高效可视化表征。在模型训练阶段,注意力模块通过动态分配空间维度与通道维度的权重系数,强化了对异常流量时空特征的捕捉能力。实验结果表明,在HCRL-Car Hacking数据集上,该模型针对四类攻击上的平均精确率达99.98%,较传统机器学习方法提升显著;在跨数据集测试中,于Car Hacking-Attack&Defense Challenge数据集仍保持平均99.51%的高精确率,充分验证了模型在复杂攻击场景下的鲁棒性与泛化能力。本研究为智能汽车网络安全防护提供了新的技术路径。展开更多
文摘In wide area backup protection of electric power systems, the prerequisite of protection device's accurate, fast and reliable performance is its corresponding fault type and fault location can be discriminated quickly and defined exactly. In our study, global information will be introduced into the backup protection system. By analyzing and computing real-time PMU measurements, basing on cluster analysis theory, we are using mainly hierarchical cluster analysis to search after the statistical laws of electrical quantities' marked changes. Then we carry out fast and exact detection of fault components and fault sections, and finally accomplish fault isolation. The facts show that the fault detection of fault component (fault section) can be performed successfully by hierarchical cluster analysis and calculation. The results of hierarchical cluster analysis are accurate and reliable, and the dendrograms of hierarchical cluster analysis are in intuition.
