TL;DR
A "guided knowledge driven" comprehensive diagnostic system that strengthens the ability to identify hidden dangers and ultimately relies on fault tree analysis and fuzzy reasoning to achieve accurate fault location and clarifies optimization directions such as incremental learning and cross platform knowledge sharing.
Analyzing flight data from high-altitude unmanned aerial vehicles (UAVs) is an essential approach to anomaly detection and early warning. However, flight data collected during the climb, cruise, and descent phases of high-altitude UAV missions exhibit pronounced distributional differences, making it difficult for exist...
A growing need in the aviation industry is the development of smart maintenance systems that have the ability to not only improve aircraft safety but also reduce operating costs and time. Existing inspection technologies are mostly time-based and do not allow one to find structural defects between maintenance intervals...
The use of Unmanned Aerial Vehicles (UAVs) in precision agriculture, specifically palm farm management, is perpetually challenged by dynamic and extreme weather. From sudden wind gusts and thermal stress to destructive regional events like sandstorms and flash floods, these hazards severely constrict operational window...
Flight Data Recorders (FDRs) continuously capture operational flight data, yet their information is predominantly used for retrospective accident investigation. The objective of this study is to present and evaluate a learning-capable aviation safety monitoring framework that learns nominal landing-trajectory behavior...
For GNSS/INS integrated navigation systems for automated driving, it is necessary not only to provide continuous positioning solutions, but also to detect faults in a timely manner and provide credible risk bounds in complex environments. The current literature tends to talk about innovation-based detection, fault dete...
The results show that the proposed approach effectively approximates expert reasoning, accounts for nonlinearities and uncertainties, and provides a basis for improving the efficiency of predictive maintenance, optimizing operating modes, and improving the overall operating efficiency of marine diesel engines.
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