A showcase of ÉTS researchers’ publications and other contributions

The need for a systemic perspective in aircraft deicing: a proposal of a risk and safety analysis method combining FRAM and fuzzy logic


Downloads per month over past year

Slim, H. et Nadeau, S.. 2019. « The need for a systemic perspective in aircraft deicing: a proposal of a risk and safety analysis method combining FRAM and fuzzy logic ». In CASI-AERO 2019 (Laval, QC, Canada, 14-16 mai 2019)

[thumbnail of Nadeau S 2019 18826.pdf]
Nadeau S 2019 18826.pdf
Use licence: All rights reserved to copyright holder.

Download (494kB) | Preview


In recent years, advances in aircraft deicing as the centralization of operations and the improvement of applied technology increased the efficiency and effectiveness of applied deicing procedures. The shift in the applied methods requires further research to examine what advantages and challenges might arise due to the implemented changes. With the exception of a few studies, research conducted in the field of aircraft deicing focuses on the technical and operational aspects. However, to provide a more complete picture, risk and performance analyses should additionally adopt a systemic perspective considering contextual, organizational and human factors as well. In our research project, we propose an improvement to the Functional Resonance Analysis Method (FRAM) through the integration of fuzzy logic. Fuzzy logic resembles human reasoning and allows for a mathematical representation of linguistic scales, on which FRAM relies to evaluate variability. Relying on literature, the deicing context was simulated and characterized in terms of functions, which describe the set of activities necessary to successfully perform the deicing of airplanes. The functional characterization describes how the various tasks are related and how the outcomes’ variability can resonate and affect performance negatively or positively. The preliminary results of the simulation in MATLAB are promising and present a comprehensible example on how to construct such a model. The proposed framework presents a complex system analysis of the deicing context, which can provide a better understanding for the emergence of successful or undesired outcomes. The addition of fuzzy logic to FRAM allows for the calculation of numerical outputs. The improved method promises to provide a supportive tool, which can be complementary to the established classical methods. Further experiments and optimization work relying on expert knowledge are however still needed to validate the proposed model and ensure its reliability.

Item Type: Conference proceeding
Nadeau, Sylvie
Affiliation: Génie mécanique
Date Deposited: 27 May 2019 14:33
Last Modified: 24 Apr 2020 17:43

Actions (login required)

View Item View Item