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相关概念视频

Distribution Reliability and Automation01:25

Distribution Reliability and Automation

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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Propagation of Uncertainty from Systematic Error01:10

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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Random Error01:04

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Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
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On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
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Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
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Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing
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在传感器网络上同时进行状态和故障估计的强大的分布式观察器.

Dingguo Liang1, Yunxiao Ren1, Yuezu Lv2

  • 1Department of Mechanics and Engineering Science, College of Engineering, Peking University, Beijing 100871, China.

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PubMed
概括

本研究介绍了使用传感器网络在线性时间不变 (LTI) 系统中同时进行状态和故障估计的分布式观察器. 该方法确保了H∞的性能,甚至在没有全球网络信息的情况下工作.

关键词:
H ∞ 性能表现的表现.分布的观察者是分布式的观察者.错误估计错误估计 错误估计传感器网络 传感器网络太空飞船的态度控制控制器

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科学领域:

  • 控制系统工程 控制系统工程
  • 网络化系统 网络化系统
  • 检测和诊断故障的检测和诊断.

背景情况:

  • 分散估计对于像传感器网络这样的大规模系统至关重要.
  • 同时的状态和故障估计提高了系统的可靠性和安全性.
  • 现有的方法通常需要全球信息,限制可扩展性.

研究的目的:

  • 开发分布式观察器,用于在线性时间不变系统 (LTI) 中同时进行状态和故障估计.
  • 在分散的环境中分析观察者的可观性和H∞性能.
  • 设计不依赖全球网络数据的自适应观察器.

主要方法:

  • 对传感器节点的非局部可观测性的分析.
  • 分布式观察员的设计具有H∞的性能保证.
  • 全球设计条件转化为线性矩阵不等式 (LMI).
  • 为无干扰场景开发完全分布的自适应观察者.

主要成果:

  • 提出的H∞分布式观察器通过限制干扰影响来确保性能.
  • 建立了LMI可偿债条件,取决于集体可观性和H∞指数.
  • 完全分布的自适应观测器是为了在没有全球信息的情况下进行非对称状态和故障估计而设计的.
  • 关于航天器态度控制的案例研究验证了这些方法的有效性.

结论:

  • 开发的分布式观察器有效地在LTI系统中同时进行状态和故障估计.
  • H∞性能和LMI可靠性条件为分散估计提供了一个强大的框架.
  • 适应性观察员为无干扰环境提供了可行的解决方案,消除了对全球数据的需求.