Metal plate structure damage type identification system and method

Abstract

The invention discloses a metal plate structure damage type identification system and method, and the system comprises a plurality of sensors which are arranged on the boundary of a to-be-detected area of a metal plate and are used for transmitting and receiving wave signals, wherein the transmitted wave signals are excitation signals, and the received wave signals are receiving signals; an information acquisition module used for acquiring the excitation signals and the receiving signals; a signal processing module used for acquiring the flight time of the wave signal and the time parameter of the excitation signal and calculating a target time period; a feature extraction module which performs feature extraction on the received signals in combination with the target time period to obtain feature parameters; and a damage identification module which identifies the damage type of the metal plate structure according to the feature parameters. According to the invention, through processing of the signals transmitted among the plurality of sensors, extraction of the feature parameters and identification of the damage type of the metal plate structure according to the obtained information and parameters, the difficulty of structure damage monitoring is reduced, and the method has the advantages of high accuracy, fast analysis speed, simple monitoring system and the like.

Description

technical field [0001] The invention relates to a metal plate structure health monitoring technology, in particular to a system and method for identifying damage types of a metal plate structure. Background technique [0002] Structural health monitoring technology comprehensively uses sensor technology, signal processing and analysis technology, corrosion damage theory and probability statistics theory, etc. and durability provide an important reference. As the most common failure mechanism of aviation complex key structures, corrosion damage failure has a great impact on the durability of the structure, so the qualitative and quantitative diagnosis and prediction of corrosion damage has become an important part of structural health monitoring. In the field of metal (for example, aluminum alloy) damage monitoring, there are linear polarization methods, optical sensor technology, acoustic emission technology, intelligent coating technology, etc., but there are problems such...

AI Technical Summary

Problems solved by technology

In the field of metal (for example, aluminum alloy) damage monitoring, there are linear polarization methods, optical sensor technology, acoustic emission technology, intelligent coating technology, etc., but there are problems such as difficulty in real-time monitoring, accurate positioning, quantification, and high false alarm rate.

[0003] There are various types of damage to complex and critical aviation structures, mainly including corrosion area expansion damage, corrosion depth deepening damage, crack growth damage, etc. These damages and high-intensity alternating loads accelerate structural damage and mechanical performance degradation, which eventually leads to Structural corrosion failure, reducing structural life

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