Method and device for quantitative monitoring of icing based on principal component analysis of guided wave energy characteristics

Abstract

The invention discloses a method and device for quantitative monitoring of icing based on principal component analysis of guided wave energy characteristics, which can use the comprehensive score of principal components of guided wave signal energy characteristics to evaluate icing length and realize quantitative monitoring of icing length. Firstly, the guided wave signals under different icing lengths are obtained, the energy characteristics of the guided wave signals are extracted, and the energy characteristic matrix of the guided wave signals is constructed; The principal components of the energy characteristics of the wave signal and their comprehensive scores are used to obtain the relationship curve between the icing length and the comprehensive score; during the icing monitoring, the guided wave signal is excited and received, the energy characteristics are extracted, and a new guided wave signal energy characteristic matrix is ​​constructed. The matrix performs principal component analysis and comprehensive score calculation to obtain the comprehensive score of the monitored icing area; finally, according to the relationship curve, the icing length is obtained.

Description

technical field [0001] The invention relates to the field of structural health monitoring, in particular to a quantitative monitoring method and device for icing based on principal component analysis of guided wave energy characteristics. Background technique [0002] During the flight, when the temperature is low, the surface of the aircraft collides with the clouds, causing the supercooled water to undergo a rapid phase change, causing ice to form on many parts of the aircraft. The icing of the aircraft will increase the mass of the aircraft, increase the flight resistance, affect the aerodynamic performance, operational stability and take-off and landing characteristics of the aircraft, seriously reduce the flight safety of the aircraft, and even lead to the occurrence of flight accidents. [0003] The ultrasonic guided wave icing detection technology can monitor the icing state of the aircraft, so as to activate the de-icing system for de-icing, which plays a vital role ...

AI Technical Summary

Problems solved by technology

However, due to the multi-modal and dispersion characteristics of ultrasonic guided waves, the waveform of guided wave signals in icing monitoring is relatively complex, which brings great challenges to signal identification, especially quantitative monitoring.

[0004] Using multi-signal features instead of single-signal features for icing monitoring can improve monitoring accuracy and reliability, but due to the correlation between signal features, too many features will increase the difficulty and complexity of analysis problems, and it is difficult to obtain signal features and The relationship between the freezing size and the quantitative monitoring of the freezing size cannot be carried out

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