Farina, D.; Machrafi, H.; Queeckers, P.; Dongo, P.D.; Iorio, C.S. Innovative AI-Enhanced Ice Detection System Using Graphene-Based Sensors for Enhanced Aviation Safety and Efficiency. Nanomaterials2024, 14, 1135.
Farina, D.; Machrafi, H.; Queeckers, P.; Dongo, P.D.; Iorio, C.S. Innovative AI-Enhanced Ice Detection System Using Graphene-Based Sensors for Enhanced Aviation Safety and Efficiency. Nanomaterials 2024, 14, 1135.
Farina, D.; Machrafi, H.; Queeckers, P.; Dongo, P.D.; Iorio, C.S. Innovative AI-Enhanced Ice Detection System Using Graphene-Based Sensors for Enhanced Aviation Safety and Efficiency. Nanomaterials2024, 14, 1135.
Farina, D.; Machrafi, H.; Queeckers, P.; Dongo, P.D.; Iorio, C.S. Innovative AI-Enhanced Ice Detection System Using Graphene-Based Sensors for Enhanced Aviation Safety and Efficiency. Nanomaterials 2024, 14, 1135.
Abstract
Ice formation on aircraft surfaces poses significant safety risks, and current detection systems often struggle to provide accurate, real-time predictions. This paper presents the development and comprehensive evaluation of a smart ice control system using a suite of machine learning models. The system utilizes various sensors to detect temperature anomalies and signal potential ice formation. We trained and tested supervised learning models (Logistic Regression, Support Vector Machine, Random Forest), unsupervised learning models (K-means clustering), and neural networks (Multi-Layer Perceptron) to predict and identify ice formation patterns. Experimental results demonstrate that our smart system, driven by machine learning, accurately predicts ice formation in real-time, optimizes de-icing processes, and enhances safety while reducing power consumption. This solution holds the potential for improving ice detection accuracy in aviation and other critical industries requiring robust predictive maintenance.
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
