Sep 2026· IEEE Transactions on Cybernetics· Vol PP, pp. 1-14· 0 citations
Medicine
TL;DR
This work proposes a novel SAGE-GAT Hybrid Network enhanced with a dynamic node interaction attention (DNIA) mechanism, achieving high accuracy in disambiguating confusing faults while maintaining practical training efficiency, thereby offering a robust and applicable solution for aviation maintenance.
Aircraft landing gear systems are characterized by strong nonlinearity, multi-physics coupling, and significant uncertainty. This paper reviews representative modeling approaches, including multibody dynamics, rigid–flexible coupling modeling, multi-domain unified modeling, co-simulation, and tire–runway coupled modeli...
Zhu Cheng· Applied and Computational En...· 0 citations
The reliability of aircraft cables is crucial in aircraft manufacturing and operation, but their complex network structure and numerous test points make fault diagnosis extremely difficult. In aircraft cable networks, true and false faults are often confused with each other. Aircraft cable test equipment can only provi...
Abstract:Reliable fault diagnosis of aero-engine bearings is crucial for ensuring flight safety. However, the spectral distributions of different operating states are often distorted by noise and operating-condition variations, making it difficult for existing intelligent diagnosis methods to accurately characterize...
Miao-Rui Yang, Masao Arakawa, Wen-Xu Zhang et al.· Journal of Dynamics Monitori...· 0 citations
Liquid rocket engines (LREs) are mission-critical propulsion systems whose reliability directly affects launch safety and the repeated operation of reusable launch vehicles. Data-driven LRE fault diagnosis remains difficult because labeled fault samples are scarce, engine-to-engine variations cause distribution shifts,...
Ming-Yang Geng, Gang Zheng, Long He et al.· Italian National Conference...· 0 citations
Cross-domain fault diagnosis of rolling bearings remains challenging because of substantial shifts in feature distributions and condition-induced instability in intra-class structures. To address these challenges, a prototype-informed dynamic adaptation network to enhance diagnostic robustness under varying operating c...
