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相关概念视频

Distribution Reliability and Automation01:25

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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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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.
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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.
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基于人工智能的自动数字模型分析系统的可靠性和基于时间的效率.

Jae-Hun Yu1,2, Ji-Hoi Kim1,2, Jing Liu1

  • 1Department of Orthodontics, Institute of Craniofacial Deformity, Yonsei University College of Dentistry, Seoul, Korea.

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概括
此摘要是机器生成的。

内口扫描的自动数字 (AD) 分析比手动数字 (MD) 分析更可复制和更快. 然而,存在显著的测量差异,这意味着AD和MD方法不应该互换.

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科学领域:

  • 牙科诊断 牙科诊断 牙科诊断
  • 数字牙科数字牙科
  • ортодонтический分析 ортодонтический分析

背景情况:

  • 内口扫描仪越来越多地用于正牙科.
  • 数字模型比传统方法具有潜在的优势.
  • 评估数字分析的效率和准确性至关重要.

研究的目的:

  • 为了比较口腔内扫描模型的自动数字 (AD) 与手动数字 (MD) 分析的可靠性,可重现性和时间效率.
  • 评估两种方法之间关键的正牙测量差异.

主要方法:

  • 两名检查人员使用MD和AD方法分析了26个口腔内扫描记录.
  • 布兰德-阿尔特曼图表评估了牙大小的可重复性.
  • 威尔科克森签名级别测试比较模型分析参数和时间.

主要成果:

  • 自动数字分析显示了较小的测量偏差 (0.08毫米对比0.15毫米).
  • 阿尔茨海默病的分析显著更快 (0.56分钟对8.62分钟).
  • 在AD和MD方法之间发现了12牙和门周边测量的显著差异 (P < 0.001).

结论:

  • 自动数字分析提供了卓越的可重现性和时间效率.
  • 在临床上显著的测量差异需要不同的应用AD和MD方法.
  • AD和MD分析在正牙模型中是不可互换的.