Open AccessA quantitative evaluation method of aircraft wire performance based on infrared characteristic
Author(s) -
Xiangyang Yu,
Linghong Yao,
Shoumiao Yu,
Chunfeng Yu,
He Aiming
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/2/022175
Subject(s) - conductor , reliability (semiconductor) , electrical conductor , thermal , sensitivity (control systems) , thermal analysis , thermography , electronic circuit , dissipation , infrared , electronic engineering , materials science , computer science , mechanical engineering , engineering , electrical engineering , power (physics) , physics , optics , quantum mechanics , meteorology , composite material , thermodynamics
As the “neural network” of airborne electrical system, the working state of aircraft conductor directly determines the reliability of the system platform. By the analysis of the performance degradation mechanism based on the thermal state model, it is concluded that local thermal stress is the common cause of apparent failure. The rated stable temperature rise of the wire is related to the working current value and the performance of insulating materials. The wiring mode is the actual influencing factor that determines the heat dissipation coefficient and surface area of the conductor. By analyzing the infrared characteristics of different wiring methods, a method is proposed to obtain the surface temperature spectrum to determine the thermal state. The relatively stable temperature rise and overflow rate are taken as the characteristic parameters, which can more accurately describe the sensitivity of wiring methods to thermal factors and realize qualitative analysis and quantitative evaluation. The feasibility of applying thermal imaging technology to the performance evaluation of aircraft electrical circuits is verified, and it can also provide reference for the active prevention and online diagnosis of line faults.