Results 11 to 20 of about 2,969,144 (286)
Fuzzy Ontology Reasoning for Power Transformer Fault Diagnosis
This paper presents a novel fuzzy ontology reasoner for power transformer fault diagnosis under a multi-agent framework. The developed ontology provides a comprehensive knowledge base as part of a multi-agent system to enable imprecision reasoning.
SAMIRMI, F. D., TANG, W., WU, Q.
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Research on mechanical fault diagnosis method of power transformer winding
Today, the accuracy of the fault mechanical diagnosis of transformer winding is low and the fault types cannot be judged, this study proposes a machine condition diagnosis method of transformer winding based on the combination of short-circuit reactance ...
Zhang Bin +4 more
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Power transformer fault diagnosis system based on Internet of Things [PDF]
Transformer is the most important equipment in the power system. The research and development of fault diagnosis technology for Internet of Things equipment can effectively detect the operation status of equipment and eliminate hidden faults in time ...
Guoshi Wang +6 more
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Fault diagnosis system based on Dynamic Fault Tree Analysis of power transformer
Firstly, this research paper introduced the process of transformer fault diagnosis and the theory of DFTA and then we attempt to apply DFTA to the field of transformer faults diagnosis. By establishing the fault tree of transformer, a practical, easily-extended, interactive and self-learning enabled fault diagnosis system based on DFTA for transformer ...
Jiang Guo +6 more
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Application of Rough Set in Fault Diagnosis of Power Transformer
Power transformer is a complex system. It is difficult to gain complete experiment data in actual fault diagnosis. To solve the problem, the paper proposed a new method of fault diagnosis of power transformer based on rough set. The implementing steps of
LI Hong, TIAN Mu-qi
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A Safe-Domain Generative Adversarial Network with Swin Transformer for Noisy Imbalanced Fault Diagnosis. [PDF]
Currently, data-driven fault diagnosis methods have achieved remarkable progress. However, in industrial scenarios, acquiring a sufficient amount of fault data poses a challenge, thereby leading to the issue of imbalanced data in intelligent fault ...
Lai X, Zhang X, Xie Z, Liu M.
europepmc +2 more sources
A Siamese Vision Transformer for Bearings Fault Diagnosis
Fault diagnosis methods based on deep learning have progressed greatly in recent years. However, the limited training data and complex work conditions still restrict the application of these intelligent methods. This paper proposes an intelligent bearing fault diagnosis method, i.e., Siamese Vision Transformer, suiting limited training data and complex
Qiuchen He +5 more
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Fault Diagnosis of Power Transformers With Membership Degree [PDF]
Power transformers are important equipment for power systems, and a dissolved gas analysis (DGA) is widely used to detect incipient faults in oil-pregnant transformers. The conventional methods are prone to misinterpreting the gas data near the boundaries and the correct rate is low.
Enwen Li, Linong Wang, Bin Song
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Aiming at the problem of lack of training samples and low accuracy in transformer early winding fault diagnosis, this paper proposes a transformer early faults diagnosis method based on transfer learning and leakage magnetic field characteristic quantity.
Xiangli Deng +3 more
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Dissolved gas analysis (DGA) of insulating oil can effectively identify transformer discharge fault and overheating fault. In order to improve the accuracy of transformer fault diagnosis, a transformer hierarchical fault diagnosis method is proposed ...
Tie CHEN +3 more
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