...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Structural health monitoring >Degradation model of multi-signals based on a novel feature-selection criterion
【24h】

Degradation model of multi-signals based on a novel feature-selection criterion

机译：基于新型特征选择准则的多信号退化模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In most data-driven prognostics approaches, features extracted from measurements are used in the model to indicate the degradation process and determine the reliability in real time. However, many features with physical meaning commonly exhibit no variation until a failure occurs, which leaves little time to conduct maintenance strategies or replacement policies. Hence, this research presents a novel feature-selection criterion, which enables to select a feature with an obvious trend throughout the entire life, thereby avoiding the problem mentioned. In addition, for reliability estimation and condition monitoring, an innovative model-building method based on identical statistical features extracted from multi-signals is developed, in which the features are considered to be dependent and governed by a copula function. An example is provided to illustrate the application of the proposed two-step methods. The result shows that this method is more convincible and realistic for reliability estimation.
机译：在大多数数据驱动的预测方法中，从测量中提取的特征都用于模型中，以指示退化过程并实时确定可靠性。但是，许多具有物理意义的功能部件通常不会出现变化，直到发生故障为止，这几乎没有时间进行维护策略或更换策略。因此，本研究提出了一种新颖的特征选择准则，该准则能够选择一生中具有明显趋势的特征，从而避免了上述问题。此外，为了进行可靠性评估和状态监视，开发了一种基于从多信号中提取的相同统计特征的创新模型构建方法，其中该特征被认为是依赖于并由copula函数控制的。提供一个示例来说明所提出的两步法的应用。结果表明，该方法在可靠性评估中更具说服力和实用性。

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