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相关概念视频

Distribution Reliability and Automation01:25

Distribution Reliability and Automation

107
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...
107
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

220
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
220
Multimachine Stability01:25

Multimachine Stability

151
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
151
Carrier Transport01:21

Carrier Transport

435
The generation of electrical current in semiconductors is fundamentally driven by two mechanisms: drift and diffusion. These processes are essential for the functionality and performance of semiconductor-based devices.
Drift Current:
The drift of charge carriers is started by an external electric field (E). Charged particles, such as electrons and holes, experience an acceleration between collisions with lattice atoms. For electrons, this results in a drift velocity (vd) given by:
435
Bus Impedance Matrix01:24

Bus Impedance Matrix

119
Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
119

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在端到端的半导体供应链中通过可解释的机器学习进行中断评估.

Friedrich-Maximilian Jaenichen1, Christina J Liepold2, Abdelgafar Ismail1

  • 1Infineon Technologies AG, Am Campeon 1-15, 85579 Neubiberg, Germany.

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本研究引入了一种混合模拟和机器学习模型来分析供应链中断. 它为半导体公司提供了减轻需求波动和改善库存管理的策略.

关键词:
有监督的学习学习.芯片短缺问题 芯片短缺问题反事实分析对事实进行反事实分析半导体供应链中的半导体供应链

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科学领域:

  • 运营研究 运营研究
  • 供应链管理 供应链管理
  • 人工智能的人工智能

背景情况:

  • COVID-19大流行严重扰乱了全球供应链,特别是影响了汽车和半导体等行业.
  • 了解和减轻最终市场需求中断的影响对于经济稳定至关重要.

研究的目的:

  • 开发和应用一种混合方法,将模拟建模和机器学习结合起来,用于分析供应链漏洞.
  • 为半导体公司提供可操作的见解,以管理需求侧风险.

主要方法:

  • 采用了与重生树集团集成的供应链模拟模型,是一种基于树的监督机器学习分类器.
  • 研究了不同行为和结构参数对关键绩效指标 (如库存水平) 的影响.
  • 在模拟中使用反事实分析来获得管理洞察力和测试的缓解策略.

主要成果:

  • 在分析模拟数据和确定影响供应链性能的关键参数方面证明了再生树组合的有效性.
  • 量化参数变化对库存水平和其他关键绩效指标的影响.
  • 确定了具体的管理策略,以减轻需求中断的不利影响.

结论:

  • 混合模拟-机器学习方法为理解和管理供应链风险提供了一个强大的框架.
  • 调查结果为半导体公司提供了基于数据的见解,以提高对需求波动的弹性.
  • 将反事实分析结果重新整合到模拟模型中,可以加深对多层次供应链动态的理解.