Exploring research on the construction and application of knowledge graphs for aircraft fault diagnosis

X Tang, G Chi, L Cui, AWH Ip, KL Yung, X **e - Sensors, 2023 - mdpi.com
Fault diagnosis is crucial for repairing aircraft and ensuring their proper functioning.
However, with the higher complexity of aircraft, some traditional diagnosis methods that rely …

Construction of fault diagnosis system for control rod drive mechanism based on knowledge graph and Bayesian inference

XJ Jiang, W Zhou, J Hou - Nuclear Science and Techniques, 2023 - Springer
Abstract Knowledge graph technology has distinct advantages in terms of fault diagnosis. In
this study, the control rod drive mechanism (CRDM) of the liquid fuel thorium molten salt …

Multi-domain fusion for cargo UAV fault diagnosis knowledge graph construction

A **ao, W Yan, X Zhang, Y Liu, H Zhang… - Autonomous Intelligent …, 2024 - Springer
The fault diagnosis of cargo UAVs (Unmanned Aerial Vehicles) is crucial to ensure the
safety of logistics distribution. In the context of smart logistics, the new trend of utilizing …

[HTML][HTML] Integrating knowledge graphs into distribution grid decision support systems

Y Kor, L Tan, P Musilek, MZ Reformat - Future Internet, 2023 - mdpi.com
Distribution grids are complex networks containing multiple pieces of equipment. These
components are interconnected, and each of them is described by various attributes. A …

Thermal Fault Detection of High-Voltage Isolating Switches based on Hybrid Data and BERT

Z Gong, Z Cao, S Zhou, F Yang, C Shuai… - Arabian Journal for …, 2024 - Springer
The heating of high-voltage isolating switches above 110 kV will cause serious safety
accidents. To identify the heating faults of isolating switches accurately, this study uses …

[HTML][HTML] Named Entity Recognition for Equipment Fault Diagnosis Based on RoBERTa-wwm-ext and Deep Learning Integration

F Gao, L Zhang, W Wang, B Zhang, W Liu, J Zhang… - Electronics, 2024 - mdpi.com
Equipment fault diagnosis NER is to extract specific entities from Chinese equipment fault
diagnosis text, which is the premise of constructing an equipment fault diagnosis knowledge …

GIS Fault Prediction Approach Based on IPSO-LSSVM Algorithm

H Zhao, G Zhang, X Yang - Sustainability, 2022 - mdpi.com
With the improvement of industrialization, the importance of equipment failure prediction is
increasing day by day. Accurate failure prediction of gas-insulated switchgear (GIS) in …

A Multi-Task Causal Knowledge Fault Diagnosis Method for PMSM-ITSF Based on Meta-Learning

P Lan, L Yao, Y Lu, T Zhang - Sensors, 2025 - mdpi.com
In the process of diagnosing the inter-turn short circuit fault of the joint permanent magnet
synchronous motor of an industrial robot, due to the small and sparse fault sample data, it is …

Fine-grained partial discharge pattern recognition method based on substation equipment knowledge graph

B Gao, Z Yan, X Li, C **e, S Geng - Journal of Physics …, 2024 - iopscience.iop.org
Discharge-type faults are one of the main types of faults in substation equipment, and partial
discharge (PD) faults are an important cause of equipment discharge faults. When different …