Research On TCAS Board Feature Extraction Algorithm Based On Thermal Infrared

With the rapid development of civil aviation industry, the maintenance requirement of civil aviation of equipment is becoming more and more advanced. So it promotes a challenge that how to carry out the fault diagnosis and maintenance for the plane on the base of flight safety, reducing maintenance cost and improving aircraft reliability and so on. Traffic-alert and Collision Avoidance System is an important electronic equipment on the plane to protect the safety of aircraft, however, the test system for TCAS can only do trouble for boards in the domestic, it cannot find the detail fault for components. These TCAS boards with some faults are usually sent abroad to repair, they cost vast money and time for maintenance, so these factors result in very low economic efficiency. In order to save maintenance costs and repair time, improve economic and social benefits, it has a great significance to independent researching fault diagnosis system of TCAS system.The thesis introduces an infrared thermal image method of fault diagnosis based on the signal load of the Video Memory board of TCAS system. Through comparing infrared image of the testing board with standard thermal image library can judge whether the component is fault. It is a non-contact and deep system of component fault.This thesis mainly studies the fault information extraction of the infrared thermal image of the testing Video Memory board. It describes the classification of feature extraction and the typical feature extraction algorithms, and a new feature extraction based on a combination of thresholding and edge detection is proposed by analyzing the advantages and disadvantages other methods. It is that Ostu automatic thresholding combine with quadratic spline wavelet edge detection. It proves that the method works well through experiments and simulations.The new method is compare with other edge detection operators, and analyzing every advantages and disadvantages. The experiment proves that the system has good effect through debugging and operation. It can be component-level tested for Video Memory board, and the fault can be located to a specific component. This article also appropriately analyses the possibility of detect infrared Video Memory board, external factors and establishing Standard thermal image library.