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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.
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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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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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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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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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Related Experiment Video

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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A framework for reconfigurable production line changeover task planning based on large language model.

Jinliang Hou1, Li Yan2, Hua Qiang3

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

Scientific Reports
|December 17, 2025
PubMed
Summary

This study introduces an automatic changeover task planning framework for reconfigurable production lines using a Large Language Model (LLM). The LLM-based system enhances efficiency and reduces errors in production line changeovers.

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Area of Science:

  • Robotics and Automation
  • Artificial Intelligence
  • Manufacturing Systems Engineering

Background:

  • Manual changeovers in reconfigurable production lines suffer from inefficiency and high error rates.
  • Automating these operations is crucial for improving manufacturing flexibility and productivity.

Purpose of the Study:

  • To propose an automatic changeover task planning framework for reconfigurable production lines.
  • To leverage Large Language Models (LLMs) for interpreting user instructions and controlling robots.

Main Methods:

  • A framework integrating a knowledge graph, high-level task planner, and low-level task planner.
  • LLM-based interpretation of semantic instructions to decompose tasks and generate skill sequences.
  • Skill-based modular programming with a four-layer control architecture.

Main Results:

  • Demonstrated the framework's correctness through single-robot and actual production line experiments.
  • Successfully controlled a fabricated changeover robot to perform automatic changeover tasks.
  • Validated the framework's ability to interpret user instructions and execute automated changeovers.

Conclusions:

  • The proposed LLM-based framework effectively addresses challenges in manual changeover operations.
  • Enables automatic changeover tasks in reconfigurable production lines, enhancing efficiency and accuracy.
  • Paves the way for more intelligent and autonomous manufacturing systems.