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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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Simplified Synchronous Machine Model01:30

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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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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

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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.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

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Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
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Machines: Problem Solving II01:30

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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Machines: Problem Solving I01:22

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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
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Video Experimental Relacionado

Updated: Jan 8, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Un marco para la planificación de tareas de cambio de línea de producción reconfigurable basado en un modelo de

Jinliang Hou1, Li Yan2, Hua Qiang3

  • 1Xi'an Technological University, Xi'an, China. houjinliang@st.xatu.edu.cn.

Scientific reports
|December 17, 2025
PubMed
Resumen

Este estudio presenta un marco de planificación automática de tareas de cambio para líneas de producción reconfigurables utilizando un Modelo de Lenguaje Grande (LLM). El sistema basado en LLM mejora la eficiencia y reduce los errores en los cambios de línea de producción.

Palabras clave:
planificación de tareaslíneas de producción reconfigurablescambio de línea de producciónmodelo de lenguaje grandeautomatizaciónrobóticainteligencia artificialsistemas de fabricación

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Área de la Ciencia:

  • Robótica y Automatización
  • Inteligencia Artificial
  • Ingeniería de Sistemas de Fabricación

Sus antecedentes:

  • Los cambios manuales en líneas de producción reconfigurables sufren de ineficiencia y altas tasas de error.
  • La automatización de estas operaciones es crucial para mejorar la flexibilidad y la productividad de la fabricación.

Objetivo del estudio:

  • Proponer un marco de planificación automática de tareas de cambio para líneas de producción reconfigurables.
  • Aprovechar los Modelos de Lenguaje Grandes (LLM) para interpretar instrucciones del usuario y controlar robots.

Principales métodos:

  • Un marco que integra un grafo de conocimiento, un planificador de tareas de alto nivel y un planificador de tareas de bajo nivel.
  • Interpretación basada en LLM de instrucciones semánticas para descomponer tareas y generar secuencias de habilidades.
  • Programación modular basada en habilidades con una arquitectura de control de cuatro capas.

Principales resultados:

  • Demostró la corrección del marco a través de experimentos con un solo robot y líneas de producción reales.
  • Controló con éxito un robot de cambio fabricado para realizar tareas de cambio automáticas.
  • Validó la capacidad del marco para interpretar instrucciones del usuario y ejecutar cambios automatizados.

Conclusiones:

  • El marco propuesto basado en LLM aborda eficazmente los desafíos en las operaciones de cambio manual.
  • Permite tareas de cambio automáticas en líneas de producción reconfigurables, mejorando la eficiencia y la precisión.
  • Prepara el camino para sistemas de fabricación más inteligentes y autónomos.