发明授权
US09218674B2 Bayesian approach for gas concentration reconstruction based on tunable diode laser absorption spectroscopy 有权
基于可调二极管激光吸收光谱的贝叶斯气体浓度重建方法

  • 专利标题: Bayesian approach for gas concentration reconstruction based on tunable diode laser absorption spectroscopy
  • 专利标题(中): 基于可调二极管激光吸收光谱的贝叶斯气体浓度重建方法
  • 申请号: US14345418
    申请日: 2012-08-22
  • 公开(公告)号: US09218674B2
    公开(公告)日: 2015-12-22
  • 发明人: Chao Yuan
  • 申请人: Chao Yuan
  • 申请人地址: DE Munich
  • 专利权人: Siemens Aktiengessellschaft
  • 当前专利权人: Siemens Aktiengessellschaft
  • 当前专利权人地址: DE Munich
  • 国际申请: PCT/US2012/051827 WO 20120822
  • 国际公布: WO2013/043298 WO 20130328
  • 主分类号: G06T11/00
  • IPC分类号: G06T11/00 G06T11/20
Bayesian approach for gas concentration reconstruction based on tunable diode laser absorption spectroscopy
摘要:
Systems and methods construct a 2 dimensional (2D) gas concentration map (image) from data from one or more laser based absorption projection paths. Embodiments use a Bayesian approach to construct a 2D gas concentration map of a combustion region cross section plane by modeling the 2D map as a Gaussian Process (GP). The GP models the global correlation among all pixels in the 2D map. Data from one or more projection paths is propagated to all pixels in the map instead of just local pixels. The correlation among map pixels is used to propagate projection path data from map pixels traversed by a projection path to other map pixels.
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