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SOM for Getting the Brake Formula of a Vehicle on a Brake Tester and on Flat Ground

机译:SOM,用于在制动测试仪和平坦地面上获得车辆的制动公式

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摘要

The objective of the research is to prove the capability of Self-Organizing Map (SOM) to classify brake formula of a vehicle on a bank of roller tester from the MOT (Ministry of transport) and on flat ground. The neural network demonstrated good generation of the brake-slide relationship when presented with data not used in network training. This tool will easily find brake-slide equation of each experience and we will compare the brake on two different experimental tests. This article demonstrates that the MOT brake testing do not check the car brake in its usual way of driving. We will provide data and graphs to prove that tyre pressure is a determining factor when assessing the condition of brakes.
机译:该研究的目的是证明自组织图(SOM)能够在交通运输部(MOT)和平坦地面上的一排滚筒测试仪上对车辆的制动公式进行分类。当使用网络训练中未使用的数据时,神经网络证明了制动-滑动关系的良好生成。该工具可以轻松找到每种经验的制动-滑动方程,并且我们将在两个不同的实验测试中比较制动。本文证明,MOT制动器测试不会以通常的驾驶方式检查汽车制动器。我们将提供数据和图表,以证明轮胎压力是评估制动器状况时的决定因素。

著录项

  • 来源
  • 会议地点 Valencia(ES);Valencia(ES)
  • 作者单位

    Department of Industrial Systems Engineering.E.P.S.E., Universidad Miguel Hernandez de Elche Campus of Elche (Quorum-V Building). Avd. de la Universidad s, 03202 Elche. Spain;

    Department of Industrial Systems Engineering.E.P.S.E., Universidad Miguel Hernandez de Elche Campus of Elche (Quorum-V Building). Avd. de la Universidad s, 03202 Elche. Spain;

    Department of Industrial Systems Engineering.E.P.S.E., Universidad Miguel Hernandez de Elche Campus of Elche (Quorum-V Building). Avd. de la Universidad s, 03202 Elche. Spain;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
  • 关键词

    Self-Organizing Maps; brake-slide relationship;

    机译:自组织地图;刹车滑移关系;
  • 入库时间 2022-08-26 14:05:29

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