• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IFAC PapersOnLine >Parity Space-Based Fault Detection by Minimum Error Minimax Probability Machine ?
【24h】

Parity Space-Based Fault Detection by Minimum Error Minimax Probability Machine ?

机译：通过最小错误Minimax概率机器进行基于奇偶校验的基于空间的故障检测 ？

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

摘要

This paper deals with the problem of parity space-based fault detection (FD) for linear discrete time systems in the framework of minimum error minimax probability machine (MEMPM). Traditional parity space-based FD is usually difficult to achieve acceptable tradeoff between missed alarm rate (MAR) and false alarm rate (FAR) without the exact stochastic properties of unknown input. To solve this problem, this paper proposes a novel method of parity space-based FD by MEMPM. Firstly, the integrated design of parity space vector, threshold, MAR and FAR is formulated as a problem of binary classification, i.e., the fault-free case and faulty case. By using the method of MEMPM, a bank of parity space vectors corresponding to different faulty scenarios and a threshold are then obtained, while an optimal trade-off between MAR and FAR is achieved in the worst-case setting. To show the effectiveness of proposed method, a satellite attitude control system subject to roll momentum wheel fault and pitch gyroscope fault is considered.
机译：本文在最小误差最小最大概率机（MEMPM）的框架下，解决了线性离散时间系统的奇偶性基于空间的故障检测（FD）问题。如果没有未知输入的确切随机属性，传统的基于奇偶校验的空间FD通常很难在误报警率（MAR）和误报警率（FAR）之间实现可接受的折衷。为了解决这个问题，本文提出了一种新的基于MEMPM的奇偶空间FD检测方法。首先，将奇偶校验空间矢量，阈值，MAR和FAR的集成设计表述为二元分类问题，即无故障情况和故障情况。通过使用MEMPM的方法，获得了对应于不同故障场景和阈值的奇偶校验空间向量库，同时在最坏情况下获得了MAR和FAR之间的最佳折衷。为了证明所提方法的有效性，考虑了存在侧倾动量轮故障和俯仰陀螺仪故障的卫星姿态控制系统。

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