Keynote 3: Monitoring of Low Voltage Networks through Devices Operation-Specific Frequency Features

Sheroz Khan
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引用次数: 0

Abstract

Dynamic objects under given operational conditions oscillate with a frequency referred to as natural frequency. Such objects oscillate with an amplitude higher than those under non-resonant conditions. Similarly, when they find other fishing objects in their vicinity, objects oscillating at their natural frequencies create a unique set of complex signals that may be used for fishing objects’ specific features. Depending on the size, shape, material composition, and orientation, such complex signals constitute a kind of signature RF that may be used to detect and track the given object. When turned ON (or OFF), electrical equipment items create unique frequency components that may be used similar to fingerprinting to detect this equipment under malfunction or normal function conditions. Large-scale systems such as the emerging hybridized electrical grids generate complex signals under sometimes malicious control commands. Such complex signals may be analyzed to be recognized as a unique set of frequency components. If injected into electrical grids and other similar large-scale hybrid physical and cyber installations under certain situations, such signals may prove to put the systems into devastating conditions.
主题演讲3:通过设备特定操作频率特征监测低压网络
在给定的操作条件下,动态物体以称为固有频率的频率振荡。这类物体的振动幅度高于非共振条件下的物体。同样地,当它们发现附近有其他捕鱼物体时,以其固有频率振荡的物体会产生一组独特的复杂信号,这些信号可以用于捕鱼物体的特定特征。根据尺寸、形状、材料成分和方向的不同,这些复杂信号构成了一种可用于检测和跟踪给定物体的签名射频。当打开(或关闭)时,电气设备项目产生独特的频率成分,可以类似于指纹识别来检测故障或正常功能条件下的设备。大型系统,如新兴的混合电网,有时会在恶意的控制命令下产生复杂的信号。这种复杂的信号可以通过分析被识别为一组独特的频率成分。如果在某些情况下注入电网和其他类似的大型混合物理和网络装置,这些信号可能会使系统处于毁灭性的状态。
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