首页> 外文会议>2016 Prognostics and System Health Management Conference >An adaptive state-space model for predicting remaining useful life of planetary gearbox
【24h】

An adaptive state-space model for predicting remaining useful life of planetary gearbox

机译:预测行星齿轮箱剩余使用寿命的自适应状态空间模型

获取原文
获取原文并翻译 | 示例

摘要

State-space model is often used to estimate system degradation. However, the state-space model is usually only one observation equation in existing research, and it only applies to one observation indicator. This paper puts forward an adaptive state-space model, which can be applied to multiple observation indicators. The modeling method and parameter estimation approach of adaptive state-space model are studied. In order to show that the proposed model is better than traditional state-space model, planetary gearbox remaining useful life (RUL) estimation based on adaptive state-space model is carried out.
机译:状态空间模型通常用于估计系统性能下降。然而,状态空间模型通常只是现有研究中的一个观测方程,仅适用于一个观测指标。提出了一种自适应状态空间模型,可以应用于多种观测指标。研究了自适应状态空间模型的建模方法和参数估计方法。为了证明该模型优于传统的状态空间模型,基于自适应状态空间模型进行了行星齿轮箱剩余使用寿命的估计。

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