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Three-Phase Short Circuit—Unloaded Synchronous Machine01:21

Three-Phase Short Circuit—Unloaded Synchronous Machine

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Conducting a three-phase short circuit test on an unloaded synchronous machine helps understand its impact on the system. The AC fault current's oscillogram, with the DC offset removed, reveals that the waveform amplitude decreases from an initially high value to a steady-state level for one phase of the machine.
This behavior occurs due to the magnetic flux produced by the short-circuit armature currents. Initially, these currents follow high-reluctance paths but eventually shift to...
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Phase Transitions02:31

Phase Transitions

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Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
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Phase Diagrams02:39

Phase Diagrams

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A phase diagram combines plots of pressure versus temperature for the liquid-gas, solid-liquid, and solid-gas phase-transition equilibria of a substance. These diagrams indicate the physical states that exist under specific conditions of pressure and temperature and also provide the pressure dependence of the phase-transition temperatures (melting points, sublimation points, boiling points). Regions or areas labeled solid, liquid, and gas represent single phases, while lines or curves represent...
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Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

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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.
In this model, each generator is connected to a...
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Fixed Action Patterns01:06

Fixed Action Patterns

17.5K
A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
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Inductance: Single-Phase And Three-Phase Line01:28

Inductance: Single-Phase And Three-Phase Line

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Understanding the inductance of transmission lines is crucial for efficient design and operation in electrical power systems. This discussion delves into the inductance characteristics of single-phase two-wire and three-phase three-wire transmission lines with equal phase spacing.
Single-Phase Two-Wire Line:
A single-phase line consists of two solid cylindrical conductors, denoted as x and y. Each conductor carries phasor currents ix and iy, respectively. Given that the sum of these currents is...
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Video Experimental Relacionado

Updated: Jan 22, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
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Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

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Autoencoder de fase para la sincronización rápida impulsada por datos de patrones rítmicos espaciotemporales

Koichiro Yawata1, Ryo Sakuma1, Kai Fukami2

  • 1Institute of Science Tokyo, Department of Systems and Control Engineering, Tokyo 152-8552, Japan.

Physical review. E
|January 21, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Desarrollamos un método de aprendizaje automático que utiliza un autoencoder de fase para sincronizar patrones espaciotemporales rítmicos en sistemas de reacción-difusión. Este enfoque impulsado por datos permite un control de fase preciso para dinámicas complejas.

Palabras clave:
sincronizaciónautoencoder de fasesistemas de reacción-difusióndinámica espaciotemporalaprendizaje automáticocontrol de fase

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Área de la Ciencia:

  • Sistemas Complejos
  • Dinámica No Lineal
  • Física Computacional

Sus antecedentes:

  • Los sistemas de reacción-difusión exhiben patrones espaciotemporales rítmicos complejos.
  • El control de estas dinámicas, especialmente la sincronización, es un desafío debido a la alta dimensionalidad.
  • Los métodos existentes a menudo luchan con el control de fase preciso sin afectar la amplitud.

Objetivo del estudio:

  • Desarrollar un método de aprendizaje automático impulsado por datos para sincronizar patrones espaciotemporales rítmicos en sistemas de reacción-difusión.
  • Extender el marco del autoencoder de fase para variables de campo de alta dimensionalidad.
  • Permitir el control de fase preciso de la dinámica espaciotemporal.

Principales métodos:

  • Se desarrolló un marco para mapear variables de campo de alta dimensionalidad a variables latentes de baja dimensionalidad utilizando un autoencoder de fase.
  • Se caracterizaron la fase asintótica y las amplitudes de la dinámica del sistema.
  • Se propuso un método para impulsar el sistema a lo largo de la dirección tangencial del ciclo límite para el control de fase.

Principales resultados:

  • Se logró la descripción de fase impulsada por datos de la dinámica del ciclo límite.
  • Se demostró la sincronización rápida exitosa de puntos oscilantes 1D y ondas espirales 2D en el sistema FitzHugh-Nagumo.
  • Se mostró el control de fase sin inducir desviaciones de amplitud en entornos basados en referencia y acoplamiento.

Conclusiones:

  • El autoencoder de fase proporciona una herramienta poderosa para la descripción de fase impulsada por datos de dinámicas espaciotemporales complejas.
  • El método propuesto permite la sincronización efectiva de sistemas de reacción-difusión.
  • Este enfoque tiene un potencial significativo para controlar patrones espaciotemporales de alta dimensionalidad.