Integrated ice detection technology based on multispectral and complex impedance principles

被引：0
作者：
Liu J. [1 ,2 ]
Xiong J. [3 ]
Gui K. [1 ,2 ,3 ]
Ge J. [1 ,2 ,3 ]
Ye L. [1 ,2 ]
机构：
[1] School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan
[2] National Key Laboratory of Multispectral Information Intelligent Processing Technology, Wuhan
[3] Key Laboratory of Icing and Anti/De-icing, China Aerodynamics Research and Development Center, Mianyang
来源：
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2023年 / 44卷
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
complex impedance sensor; integrated ice detection; multispectral sensor; optical fiber ice sensor; pollutant identification;
D O I：
10.7527/S1000-6893.2023.29309
中图分类号：
学科分类号：
摘要：
Optical fiber ice sensors based on light intensity modulation are susceptible to contaminant interference. To solve this problem，an integrated ice detection technique is proposed based on multispectral and impedance principles，and the technique is evaluated by experiments. Depending on the types of contaminants to be identified，the data of the multi-spectral and impedance sensor in four distinguishable near-infrared bands and four frequency points are collected respectively. By extracting 21-dimensional multispectral features and 15-dimensional complex impedance features for each different type of surface state，a method for recognizing the surface state of glazed ice and water is established by using principal component analysis and support vector machine algorithms. The experimental results show that the method can exclude the interference of five common pollutants，such as antifreeze and sand，and achieve 99. 6% state recognition accuracy in 3 010 data. For the case of glazed ice and water，the detection results of the liquid water icing process and the characteristics of the two sensors for measuring ice thickness are further analyzed. The experimental results also show that the voltage signal in the 940 nm band and the impedance equivalent capacitance value at the frequency point of 1. 5 kHz can characterize the phase change process of icing and correlate significantly with ice thickness. © 2023 Chinese Society of Astronautics. All rights reserved.
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