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Videos de Conceptos Relacionados

Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
Machines01:19

Machines

Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
Machines: Problem Solving II01:30

Machines: Problem Solving II

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.
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:
Self-Evaluation Maintenance Model01:29

Self-Evaluation Maintenance Model

The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...

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Video Experimental Relacionado

Updated: Jun 6, 2026

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

Máquinas resilientes a través del auto-modelado continuo.

Josh Bongard1, Victor Zykov, Hod Lipson

  • 1Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA. josh.bongard@uvm.edu

Science (New York, N.Y.)
|November 18, 2006
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio presenta un robot que se recupera de forma autónoma de los daños mediante la actualización continua de su auto-modelo. Este enfoque de auto-modelado permite a la máquina adaptar su locomoción y la marcha, imitando la resistencia de los animales.

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Área de la Ciencia:

  • Robótica y Robótica Robótica y Robótica Robótica Robótica Robótica Robótica Robótica Robótica
  • La biomimetización es un método de imitación biológica.
  • La inteligencia artificial es inteligencia artificial.

Sus antecedentes:

  • Los sistemas de ingeniería a menudo fallan después del daño, a diferencia de los animales que exhiben comportamientos compensatorios.
  • Desarrollar máquinas con una robustez similar a los sistemas biológicos es un desafío significativo.

Objetivo del estudio:

  • Para describir un robot capaz de la recuperación autónoma de daños físicos a través de la auto-modelado continuo.
  • Para investigar cómo el auto-modelado puede permitir la locomoción adaptativa en robots con piernas.

Principales métodos:

  • Un robot de cuatro patas infiere su estructura usando relaciones accionamiento-sensación.
  • El robot genera una locomoción hacia adelante basada en su auto-modelo inferido.
  • El sistema adapta su auto-modelo y estrategia de locomoción cuando se produce un daño físico (por ejemplo, la extracción de la pierna).

Principales resultados:

  • El robot generó con éxito la locomoción hacia adelante utilizando su auto-modelo.
  • Tras la extracción de la pierna, el robot adaptó sus autos-modelos.
  • Los auto-modelos adaptados llevaron a la generación de pasos alternativos, demostrando la recuperación de los daños.

Conclusiones:

  • El auto-modelado continuo permite a los robots recuperarse de forma autónoma de los cambios estructurales inesperados.
  • Este enfoque ofrece un camino hacia el desarrollo de sistemas de ingeniería más robustos.
  • Los hallazgos pueden proporcionar información sobre los mecanismos de auto-modelado en la locomoción y adaptación de los animales.