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相关概念视频

Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

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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.
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When a mechanic tries to remove a hex nut with a wrench, it is easier if the force is applied at the farthest end of the wrench handle. The lever arm is the distance from the pivot point (the hex nut in this case) to the person’s hand. If this distance is large, the torque is higher. Only the component of the force perpendicular to the lever arm contributes to the torque. Therefore, pushing the wrench perpendicular to the lever arm is more advantageous. If multiple people apply force to...
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Upward Impending Motion01:21

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A square-threaded screw jack is a mechanical device widely used for lifting heavy loads or applying considerable force. Its operation is based on converting the force applied at its handle into a torsional moment, causing the upward impending motion of the screw. This movement is accomplished by overcoming the static friction between the threads of the screw and the jack.
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Torque Free Motion01:15

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The torque-free motion refers to the movement of a rigid body in space when no external torques are acting upon it. This type of motion can be observed in environments where there are no external forces or frictions, like in outer space. For example, a rotation of Mars in space is a torque-free motion. Mars is an axisymmetric object, meaning it has an axis of symmetry along which it rotates, designated as the z-axis. The rotating frame of reference is defined such that the center of mass of...
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Wind Turbine Machine Models01:24

Wind Turbine Machine Models

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In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
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Designing a solid shaft that transmits power from a motor to a machine tool involves a series of calculations to ensure the shaft can withstand the stresses applied by bending moments and torques. First, calculate the torque exerted on the gear, considering the power transmitted by the shaft and its rotational speed. Following this, compute the tangential forces acting on the gears, which directly relate to the torque and the gear radius.
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使用机器学习模型通过操作员数据和微型TBM日志数据同步来预测软地面微型TBM插头的转速和扭矩.

Kursat Kilic1, Owada Narihiro2, Hajime Ikeda3

  • 1Department of Geosciences, Geotechnology and Materials Engineering for Resources, Graduate School of International Resource Sciences, Akita University, Akita, 010-8502, Japan. kilic_kursat@hotmail.com.

Scientific reports
|April 27, 2024
PubMed
概括

这项研究使用机器学习和Optuna来预测道钻机 (TBM) 插孔速度和扭矩,提高挖掘效率. 人工智能模型通过从操作和TBM数据中学习来帮助操作员.

关键词:
机器学习 机器学习微型泥TBM的使用方法操作参数 操作参数这就是奥普图纳.软地面道挖掘软地面道在TBM插座控制速度控制器上.在TBM的扭矩控制器上,扭矩控制器可以控制扭矩.

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科学领域:

  • 工程 工程师 工程师 工程师
  • 计算机科学 计算机科学
  • 人工智能的人工智能

背景情况:

  • 道钻井机 (TBM) 对于地下基础设施的发展至关重要.
  • 优化TBM挖掘效率依赖于精确监测和控制门转速和扭矩.
  • 操作人员目前的手动参数调整正在通过机器学习 (ML) 方法得到增强.

研究的目的:

  • 开发一种基于机器学习的创新框架,以加强操作员监控和TBM数据理解.
  • 为了建立一个强大的TBM操作员行为和记录的TBM数据之间的相关性.
  • 为了自主优化TBM挖掘参数,如门速度和扭矩.

主要方法:

  • 利用Optuna辅助的ML方法来进行超参数优化.
  • 从微泥道钻机 (MSTBM) 挖掘中收集运行数据.
  • 比较和调整各种ML模型,包括随机森林 (RF),kNN,DT,XGBoost,SVM和ANN.

主要成果:

  • 随机森林 (RF) 模型表现出高性能,R2为96%的杰克转速和83%的扭矩预测.
  • 实现了较低的误差率:MSE为119.7和MAE为4.42的转速;MSE为0.62和MAE为0.42的扭矩.
  • 成功地建立了运营商操作和TBM记录数据之间的强烈相关性.

结论:

  • 开发的AI模型有效地帮助TBM运营商做出明智的控制决策.
  • 这种方法提高了TBM数据的理解,并优化了挖掘参数.
  • 由Optuna辅助的ML框架在TBM操作和效率方面取得了显著的进步.