CHINESE JOURNAL OF ENERGETIC MATERIALS
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Partial Least-Squares Regressive Analysis and Mode on Detection of Gunpowder Moisture
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(1. School of Information and Communication Engineering, North University of China, Taiyuan 030051, China; 2. Shanxi North Xi′an Chemical Industry Co.LTD., Taiyuan 030008,China)

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    Abstract:

    According to the requirement of moisture content (1%-3%) and detection precision(0.1%) for the flat gunpowder, the capacitive sensor of varied dielectric was adopted, and the system of capacitive sensor for the moisture detection of gunpowder was developed. On the basis of the analysis for temperature, moisture, mass and voltage amplitude, the multi-linear regression model of partial least-squares was established. Results show that the maximal measurement error of moisture content (0.3%-1%) is 0.12%, and the maximal error of moisture content(1%-3%) is less than 0.087%, which meeting the accuracy requirement for the moisture detection (0.1%) of gunpowder.

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杨顺民,韩民园,郑建利,等.火药水分检测的偏最小二乘法回归分析与建模[J].含能材料,2014,22(3):417-421.
YANG Shun-min, HAN Min-yuan, ZHENG Jian-li, et al. Partial Least-Squares Regressive Analysis and Mode on Detection of Gunpowder Moisture[J]. Chinese Journal of Energetic Materials,2014,22(3):417-421.

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History
  • Received:December 02,2013
  • Revised:March 08,2014
  • Adopted:March 10,2014
  • Online: July 01,2014
  • Published: