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相关概念视频

Thermal expansion and Thermal stress: Problem Solving01:27

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San Francisco's Golden Gate Bridge is exposed to temperatures ranging from -15 °C to 40 °C. At its coldest, the main span of the bridge is 1275 m long. Assuming that the bridge is made entirely of steel, what is the change in its length between these temperatures?
To solve the problem, first, identify the known and unknown quantities. The initial length (L) of the bridge is 1275 m, the coefficient of linear expansion (α) for steel is 12 x 10-6/°C, and the change in...
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The Swing Equation is a fundamental tool in power system dynamics, especially for analyzing the behavior of generating units like three-phase synchronous generators. This equation emerges from applying Newton's second law to the rotor of a generator, encompassing factors such as inertia, angular acceleration, and the interplay between mechanical and electrical torques.
In a steady-state operation, the mechanical torque (Τm) supplied to the generator is balanced by the electrical torque...
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Design Example: Strain Gauge Bridge or Wheatstone Bridge01:15

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The utilization of strain gauges as transducers for converting mechanical strain into electrical signals is a common practice in various engineering applications. These strain gauges are frequently integrated into Wheatstone bridge circuits to accurately measure parameters such as force or pressure. Within this context, each element within the circuit exhibits a resistance that undergoes subtle variations when subjected to mechanical strain. The primary objective is to convert minuscule...
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Stress Concentrations in Circular Shafts01:18

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Consider the elastic torsion formula, which applies to a circular shaft with a consistent cross-section. This formula assumes that the shaft's ends are loaded with rigid plates firmly attached. However, in many cases, torques are applied to the shaft through mechanisms like flange couplings or gears, which are connected by keys inserted into keyways. This application method modifies the stress distribution near the point of torque application, causing it to deviate from the distributions...
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Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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相关实验视频

Updated: Jul 10, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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基于PSO-LSSVM算法的SAW绕线张力传感器的温度补偿

Yang Feng1, Wenbo Liu1, Haoda Yu1

  • 1School of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China.

Micromachines
|November 25, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种改进的表面声波 (SAW) 绕线张力传感器. 数据融合和PSO-LSSVM算法通过补偿温度错误显著提高了测量准确性.

关键词:
在PSO-LSSVM算法中.表面声波 (SAW) 是指表面的声波.温度补偿是一种温度补偿.绕线张力传感器 绕线张力传感器

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科学领域:

  • 材料科学 材料科学 材料科学
  • 传感器技术 传感器技术
  • 数据科学数据科学数据科学

背景情况:

  • 传统的绕张力传感器在测量准确性方面面临挑战,特别是由于温度变化.
  • 表面声波 (SAW) 设备为高精度传感应用提供了潜力.

研究的目的:

  • 设计一个高精度的 SAW 绕线张力传感器.
  • 通过数据融合和先进的算法来提高SAW绕张力传感器的测量精度.
  • 为了弥补SAW传感器测量中的温度引起的错误.

主要方法:

  • 使用不平衡的分裂电极数字间传感器 (IDT) 和电极重叠包裹的SAW绕线张力传感器的设计.
  • 应用粒子集群优化-最小平方支持向量机 (PSO-LSSVM) 算法用于温度错误补偿.
  • 数据融合技术提高了测量精度.

主要成果:

  • 在温度补偿后,SAW传感器的灵敏度温度系数 (αs) 降低了一个数量级.
  • 与LSSVM模型 (1.42%) 相比,PSO-LSSVM模型的输出误差 (0.50%) 显著降低.
  • 预测结果的整体准确性被证明为5.95%.

结论:

  • 开发的SAW上张力传感器与PSO-LSSVM补偿证明了卓越的测量准确性.
  • 拟议的方法为SAW卷轴张力传感器的数据分析和错误补偿提供了一种新的方法.
  • 这一进步有助于在绕过程中更可靠地监测压力.