Soft Sensor for COx Content in Tail Gas of PX Oxidation Side Reactions based on Particle Filters and EM Algorithm

Abstract Based on expectation-maximization algorithm, parameter estimation was proposed for data-driven nonlinear models in this work. On this basis, particle filters were used to approximately calculate integrals, deriving EM algorithm based on particle filter. And the effectiveness of using the proposed algorithm for the soft sensor of COx content in tail gas of PX oxidation side reactions was verified through simulation results.

• Publication year

  2014

• Venue

  IERI Procedia

• Publication date

  Unknown publication date

• Fields of study

  Mathematics, Chemistry, Engineering

• Identifiers
  DOI 10.1016/J.IERI.2014.03.011
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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