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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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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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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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This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
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一个基于自适应代孕模型的可靠性评估的新型学习功能.

Shiyuan Yang1,2, Debiao Meng1,2, Hongtao Wang1,2

  • 1School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
|November 19, 2023
PubMed
概括
此摘要是机器生成的。

一个新的学习功能通过选择最佳样本来改善基于自适应代理模型的可靠性评估. 这种方法提高了复杂工程结构的计算效率和准确性,为传统方法提供了多功能替代方案.

关键词:
克里金格模型的模型基于自适应代孕模型的可靠性评估.学习功能学习功能学习功能可靠性分析可靠性分析

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科学领域:

  • 工程 工程师 工程师 工程师
  • 计算科学 计算科学
  • 可靠性工程可靠性工程

背景情况:

  • 经典可靠性分析面临复杂工程结构的挑战,导致错误和成本增加.
  • 基于替代模型的自适应方法在计算效率和可靠性评估中的准确性之间提供了平衡.
  • 在这些方法中,学习功能对于自适应地选择更新样本至关重要.

研究的目的:

  • 为基于自适应代用模型的可靠性评估提出一种新的学习功能.
  • 开发一个独立于Kriging模型预测差异的学习功能,增强模型的灵活性.
  • 通过比较案例研究来证明拟议方法的计算效率和准确性.

主要方法:

  • 开发一种新的学习功能,用于可靠性评估中的自适应性样本选择.
  • 学习功能与代用模型的整合,不仅限于Kriging.
  • 通过四个比较案例进行验证:一个序列系统,一个非线性数值示例和两个实际的工程场景.

主要成果:

  • 建议的学习功能有效地选择最佳的更新样本.
  • 与现有方法相比,该方法显示出显著的计算效率和准确性.
  • 学习函数与特定代用模型预测的独立性扩大了它的适用性.

结论:

  • 新的学习功能为适应性可靠性评估提供了一种有效和通用的方法.
  • 这种方法为分析复杂的工程结构提供了有希望的解决方案,提高了准确性和效率.
  • 拟议的技术可以与各种代用模型相结合,扩大其实用性.