Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
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 …
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
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 …
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
Distribution grids are complex networks containing multiple pieces of equipment. These
components are interconnected, and each of them is described by various attributes. A …
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 …
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 …
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 …
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 …
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 …
discharge (PD) faults are an important cause of equipment discharge faults. When different …