首页> 外文会议>IEEE Annual Conference on Decision and Control >Data characterization for automatic selection of valve stiction detection algorithms
【24h】

Data characterization for automatic selection of valve stiction detection algorithms

机译:数据特征化,用于自动选择气门静摩擦检测算法

获取原文

摘要

This paper proposes a valve stiction detection system which selects applicable valve stiction detection algorithms based on characterization of the data. Additionally, the proposed system computes the final detection decision, weighting, by means of suitably-defined reliability indexes, the individual decisions provided by the selected algorithms. The paper demonstrates the effectiveness of the proposed valve stiction detection system with benchmark industrial data.
机译:本文提出了一种气门静摩擦检测系统,该系统根据数据的特征选择适用的气门静摩擦检测算法。另外,所提出的系统通过适当定义的可靠性指标来计算最终的检测决策,权重,这些权重由所选算法提供。本文用基准工业数据证明了所提出的气门静摩擦检测系统的有效性。

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