• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Conference on Fuzzy Systems >Computing derivatives in interval type-2 fuzzy logic systems trained by steepest descent method for fault classification in a switch machine
【24h】

Computing derivatives in interval type-2 fuzzy logic systems trained by steepest descent method for fault classification in a switch machine

机译：在开关机中的故障分类中训​​练的间隔型-2模糊逻辑系统中的计算衍生工具

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A switch machine is an electromechanical device that allows railway trains to be guided from one track to another. Among all possible faults that can occur in a switch machine, the three mains ones are: lack of lubrication, lack of adjustment and malfunction of a component. Aiming to classify these faults, an important contribution of this work is to address the height type-reduction and interval singleton type-2 fuzzy logic system derivatives. The computational simulations are performed with real data set provided by a Brazilian company of the railway sector. The obtained results are compared with other models reported in the literature (Bayes theory, multilayer perceptron neural network and type-1 fuzzy logic system), demonstrating the effectiveness of the proposed classifier and revealing that the proposal is able to properly handle with uncertainties associated with the measurements and with the data that are used to tune the parameters of the model. In addition, the convergence speed and performance analysis show that the proposed interval singleton type-2 fuzzy logic system is attractive for classifying faults in a switch machine.
机译：开关机是一种机电装置，允许铁路列车从一个轨道引导到另一个轨道。在开关机中可能发生的所有可能的故障中，三个电源是：缺乏润滑，缺乏调整和组件故障。旨在对这些故障进行分类，这项工作的一个重要贡献是解决高度类型减少和间隔单例-2模糊逻辑系统衍生物。计算仿真与由铁路领域的巴西公司提供的真实数据集执行。将获得的结果与文献中报告的其他模型进行比较（贝叶斯理论，多层的感知网络和1型模糊逻辑系统），展示了所提出的分类器的有效性，并揭示该提案能够正确地处理与之相关的不确定性测量和使用用于调整模型参数的数据。此外，收敛速度和性能分析表明，建议的间隔单例-2模糊逻辑系统对于分类开关机中的故障是有吸引力的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号