Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Three-Winding Transformers01:19

Three-Winding Transformers

Three identical single-phase transformers can be configured to form a three-phase transformer connection, which involves high-voltage and low-voltage windings. The high-voltage windings are denoted by capital letters A-B-C, while the low-voltage windings are labeled with lowercase letters a-b-c, representing their respective phases. This notation helps distinguish between the high and low voltage sides of the transformer.
In the per-unit equivalent circuit of a grounded Y-Y three-phase...
Power System Three-Phase Short Circuits01:21

Power System Three-Phase Short Circuits

Determining the subtransient fault current in a power system involves representing transformers by their leakage reactances, transmission lines by their equivalent series reactances, and synchronous machines as constant voltage sources behind their subtransient reactances. In this analysis, certain elements are excluded, such as winding resistances, series resistances, shunt admittances, delta-Y phase shifts, armature resistance, saturation, saliency, non-rotating impedance loads, and small...
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

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...
Multimachine Stability01:25

Multimachine Stability

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:
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Multimetallic exposure and risk of hypertension: A multi-model analysis based on the China Southwest prospective cohort.

Ecotoxicology and environmental safety·2026
Same author

Wearable sensor-based Mild Cognitive Impairment Identification: A Multi-Domain Gait Analysis Approach with Association Rule Mining.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Application of immune checkpoint inhibitors in hepatocellular carcinoma: a landscape analysis of clinical trial databases.

Frontiers in immunology·2026
Same author

Clinical analysis of drug treatment trends for coronary heart disease in China.

Frontiers in medicine·2026
Same author

Author Correction: Rice roots recruit Bacillus via the secretion of heptadecanoic acid.

Nature plants·2026
Same author

CAF-derived extracellular vesicle-associated LINC02420 links stromal communication to HIF1A-dependent glycolytic regulation in head and neck cancer.

Cancer letters·2026

相关实验视频

Updated: Jun 21, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.5K

MSTG-变压器:多变量空间时间门式变压器模型用于基于3D骨架数据的跌倒风险预测.

Junjie Cao, Xuan Wang, Keyi Huang

    IEEE journal of biomedical and health informatics
    |July 25, 2025
    PubMed
    概括

    这项研究引入了一种使用3D骨数据来预测老年人跌倒风险的新方法. 多变量时空门式变压器 (MSTG-Transformer) 实现了高精度,改进了现有的跌落预测技术.

    科学领域:

    • 老年学是一门学科.
    • 生物医学工程 生物医学工程
    • 计算机科学 计算机科学

    背景情况:

    • 老年人中跌倒是全球主要的公共卫生问题.
    • 有效的跌倒风险预测对于预防性干预至关重要.
    • 目前的方法在行走过程中难以处理复杂的骨数据.

    研究的目的:

    • 开发一种新的,数据驱动的方法来预测老年人中跌倒风险.
    • 利用3D骨架数据和先进的深度学习来提高预测准确度.
    • 解决从骨关键点多维特征提取方面的挑战.

    主要方法:

    • 使用预处理的3D骨架数据开发了多变量空间时间门式变压器 (MSTG-变压器).
    • 构建了步态循环序列,以表示运动模式并增强群体的区别.
    • 采用卷积模块用于空间/拓特征提取和双流编码器用于时空编码.
    • 利用投票方案整合分段分类来最终确定下降风险.

    主要成果:

    • 在现实数据集上,MSTG-变压器实现了0.9510 ± 0.0240的卓越预测准确度.
    • 提出的方法优于传统的跌倒风险预测方法.
    • 证明了骨关键点相互作用在准确的跌倒风险评估中的重要性.

    更多相关视频

    Design and Analysis for Fall Detection System Simplification
    08:05

    Design and Analysis for Fall Detection System Simplification

    Published on: April 6, 2020

    10.8K
    Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights
    05:26

    Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights

    Published on: October 25, 2024

    1.2K

    相关实验视频

    Last Updated: Jun 21, 2026

    A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
    11:06

    A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

    Published on: April 12, 2016

    10.5K
    Design and Analysis for Fall Detection System Simplification
    08:05

    Design and Analysis for Fall Detection System Simplification

    Published on: April 6, 2020

    10.8K
    Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights
    05:26

    Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights

    Published on: October 25, 2024

    1.2K

    结论:

    • 该MSTG-变压器提供了一个高度准确和有效的方法来预测老年人中跌倒风险.
    • 从3D骨架数据中整合空间,时间和拓特征对于强大的预测至关重要.
    • 这种方法有可能显著改善老龄化人口的防摔策略.