Fuzzy Fault Tree Maintenance Decision Analysis for Aviation Fuel Pumps Based on Nutcracker Optimization Algorithm–Graph Neural Network Improvement

Weidong He, Xiaojing Yin (), Yubo Shao, Dianxin Chen, Jianglong Mi and Yang Jiao
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Weidong He: The School of Mechanical and Electrical Engineering, Changchun University of Technology, Changchun 130012, China
Xiaojing Yin: The School of Mechanical and Electrical Engineering, Changchun University of Technology, Changchun 130012, China
Yubo Shao: The School of Mechanical and Electrical Engineering, Changchun University of Technology, Changchun 130012, China
Dianxin Chen: The School of Mechanical and Electrical Engineering, Changchun University of Technology, Changchun 130012, China
Jianglong Mi: The School of Mechanical and Electrical Engineering, Changchun University of Technology, Changchun 130012, China
Yang Jiao: Aviation Foundation Institute, Air Force Aviation University, Changchun 130012, China

Mathematics, 2024, vol. 13, issue 1, 1-17

Abstract: As a critical component of the engine, the failure of aviation fuel pumps can lead to serious safety accidents, necessitating the development of effective maintenance programs. Fault Tree Analysis (FTA) has a clear structure and strong interpretability in maintenance decision making. However, it heavily relies on expert knowledge, which is subject to uncertainty and incoherence. Therefore, this paper proposes the NOA (Nutcracker Optimization Algorithm)–GNN (Graph Neural Network) model to enhance the accuracy and robustness of FTA by mitigating the uncertainty and inconsistency in expert knowledge. The NOA algorithm efficiently searches the solution space to identify globally optimal solutions. An FTA-TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) maintenance decision-making framework has also been developed. By integrating FTA with TOPSIS, the proposed method provides a comprehensive and systematic approach that combines qualitative and quantitative analyses, thereby improving the effectiveness and reliability of maintenance decision making.

Keywords: nutcracker optimizer algorithm; graph neural network; fault tree analysis; aviation fuel pumps; technique for order of preference by similarity to ideal solution (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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