In this paper, a novel approach is presented to the measurement of marine icing phenomena under the presence of a two-phase condition. We have developed a sensor consisting of an electrostatic array and a signal processing based on a decision tree method. A three-element electrostatic array is employed to derive signals having linearly decoupled characteristics from which two key parameters, ice and water accretion layer dimension, can be determined for the purpose of environmental monitoring. The quantified characteristics revealed a correlation with the ice layer thickness in spite of the strong influence from the top water phase layer. The decision tree model established a relationship between the signal characteristics and the two accretion thickness parameters of water and ice layer. Through experimental verification, it has been observed that our sensor array in combination with the decision tree model based signal processing provides a simple practical solution to the challenging field of a two phase composition measurement such as in the marine icing considered in this study.

中文翻译：

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带有相位识别功能的arine结冰传感器

在本文中，提出了一种新颖的方法来测量两相条件下的海洋结冰现象。我们已经开发了一种由静电阵列和基于决策树方法的信号处理组成的传感器。采用三元件静电阵列来得出具有线性解耦特性的信号，从中可以确定两个关键参数，即冰和水的吸积层尺寸，以进行环境监测。尽管来自顶层水相层的强烈影响，但量化的特征仍显示出与冰层厚度的相关性。决策树模型建立了信号特征与水和冰层的两个吸积厚度参数之间的关系。通过实验验证