能量泛函在人体器官能量平衡异常检测中的应用

Yadykin Igor, Galyaev Ivan
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引用次数: 1

摘要

我们讨论了用于检测电力系统功能异常的模型和方法,其中一个生动的例子是级联事故。这些系统的正常工作模式可以描述为系统虚能的谱分解,可以表示为系统固定输入和输出时传递函数H2范数平方的谱分解。当接近应急运行模式时,虚拟能量平衡发生变化。弱稳定模态的能量份额增加,这使得识别不平衡的原因成为可能:接近一个或几个网络切割集到其容量的极限。我们可以做一个谨慎的假设,即格兰氏法可以用来描述人体内能量平衡的变化。人们可以提出一个谨慎的假设。例如,gramian方法可用于评估患第一或第二型糖尿病的风险,方法是在胰腺和/或其器官的虚能量光谱分解中检测异常。证实或反驳这一假设将有助于进一步的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Usage of the Energy Functionals for Energy Balance Anomalies Detection of Human Body Organs
We discussed the models and methods used to detect anomalies in the functioning of electric power systems, a vivid example of which are the cascade accidents. The normal mode of operation of these systems can be described as the spectral decomposition of the virtual energy of the system, which can be represented as the spectral decomposition of the squared H2 -norm of the transfer function for fixed input and output of the system. When approaching the emergency mode of operation, the virtual energy balance changes. The share of energy of weakly stable modes increases, which makes it possible to identify the cause of the imbalance: approaching one or several the network cutsets to the limits of its capacity. One can make a cautious assumption that the method of gramians can be used to describe changes in the balance of energy in a human body. One can formulate a cautious hypothesis. For example, the method of gramians can be used to assess the risk of developing diabetes of the first or second types by means of anomalies detecting in the spectral decomposition of the virtual energy of the pancreas and / or its organs. Confirm or disprove the hypothesis will help further researches.
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