Abstract
Deicing and anti-icing the aircraft using proper chemical fluids, prior takeoff, are mandatory. A thin layer of ice or snow can compromise the safety, causing lift loss and drag increase. Commercialized deicing and anti-icing fluids all pass a qualification process which is described in Society of Automotive Engineering (SAE) documents. Most of them are endurance time tests under freezing and frozen contaminants, under simulated and natural conditions. They all have in common that the endurance times have to be determined by visual inspection. When a certain proportion of the test plate is covered with contaminants, the endurance time test is called. In the goal of minimizing human error resulting from visual inspection and helping in the interpretation of fluid failure, help-decision computer-assisted algorithms have been developed and tested under different conditions. The algorithms are based on common image processing techniques. The algorithms have been tested under three different icing conditions, water spray endurance test, indoor snow test and light freezing rain tests, and were compared to the times determined by three experimented technicians. A total of 14 tests have been compared. From them, 11 gave a result lower than 5% of the results given by the technicians. In conclusion, the computer-assisted algorithms developed are efficient enough to support the technicians in their failure call. However, further works need to be performed to improve the analysis.
Highlights
Northern regions around the globe experiment yearly, during the winter, numerous freezing and frozen precipitations
This paper proposed help-decision computer-assisted automated methods to determine the endurance time by image analysis, with the goal of minimizing human error resulting from visual inspection and helping in the interpretation of fluid failure
Three algorithms to determine the endurance time of anti-icing fluids by image analysis were developed for different types of tests based on image analysis using MATLAB
Summary
Northern regions around the globe experiment yearly, during the winter, numerous freezing and frozen precipitations. Those precipitations seriously affect the transportation systems. Anti-icing fluids have been developed to protect the aircraft for a limited period of time. It mainly depends on environmental conditions including, but not exclusively, the nature of icy precipitation, the outside air temperature (OAT), and the precipitation intensity. An image is modeled as positive physical scalar quantity represented as a function f (x, y) in spatial coordinates. Each element of the matrix is a pixel with a scalar quantity to represent the color information (binary, gray, or color)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
