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Acta Aeronautica et Astronautica Sinica ›› 2023, Vol. 44 ›› Issue (S2): 729309-729309.doi: 10.7527/S1000-6893.2023.29309

• Icing and Anti/De-icing • Previous Articles     Next Articles

Integrated ice detection technology based on multispectral and complex impedance principles

Jinyi LIU1,2, Jianjun XIONG3, Kang GUI1,2,3(), Junfeng GE1,2,3, Lin YE1,2   

  1. 1.School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China
    2.National Key Laboratory of Multispectral Information Intelligent Processing Technology,Wuhan 430074,China
    3.Key Laboratory of Icing and Anti/De-icing,China Aerodynamics Research and Development Center,Mianyang 621000,China
  • Received:2023-07-11 Revised:2023-07-16 Accepted:2023-07-17 Online:2023-12-25 Published:2023-07-21
  • Contact: Kang GUI E-mail:guik@hust.edu.cn
  • Supported by:
    National Natural Science Foundation of China(62101196);China Postdoctoral Science Foundation(2021M691138)

Abstract:

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.

Key words: multispectral sensor, complex impedance sensor, optical fiber ice sensor, integrated ice detection, pollutant identification

CLC Number: