ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Integrated ice detection technology based on multispectral and complex impedance principles
Received date: 2023-07-11
Revised date: 2023-07-16
Accepted date: 2023-07-17
Online published: 2023-07-21
Supported by
National Natural Science Foundation of China(62101196);China Postdoctoral Science Foundation(2021M691138)
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.
Jinyi LIU , Jianjun XIONG , Kang GUI , Junfeng GE , Lin YE . Integrated ice detection technology based on multispectral and complex impedance principles[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023 , 44(S2) : 729309 -729309 . DOI: 10.7527/S1000-6893.2023.29309
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