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基于EMD降噪的燃烧器火焰静电信号能量熵分析

  • Shan Li
  • , Yong Yan
  • , Jiali Wu
  • , Xiangchen Qian*
  • *此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

A non-invasive electrostatic sensor array with high sensitivity, simple structure and good environmental adaptability was used to measure the energy characteristics of burner flames in different combustion tests. A denoising method based on empirical mode decomposition(EMD) was adopted to denoise the original sensor signals before calculating the EMD energy entropy of the flame, which was used to evaluate the motion complexity of charged particles in a flame. Experimental tests were conducted under various flame conditions, such as methane-air diffusion flames, methane-air premixed flames and methane-assisted biomass flames. The results show that the motion complexity of charged particles in diffusion and premixed flames increases with the flow rate of methane. The motion complexity of charged particles in biomass flames is higher than that of methane flames. The motion complexity of charged particles in the middle region of a flame is the highest.

投稿的翻译标题Energy entropy analysis of flame signals obtained by an electrostatic sensor array based on EMD denoising method
源语言繁体中文
页(从-至)285-293
页数9
期刊Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)
52
1
DOI
出版状态已出版 - 26 1月 2021
已对外发布

关键词

  • Electrostatic sensor arrays
  • Empirical mode decomposition
  • Energy entropy
  • Flame monitoring
  • Renewable low carbon fuel

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