Results 11 to 20 of about 2,969,144 (286)

Fuzzy Ontology Reasoning for Power Transformer Fault Diagnosis

open access: yesAdvances in Electrical and Computer Engineering, 2015
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.
doaj   +2 more sources

Research on mechanical fault diagnosis method of power transformer winding

open access: yesThe Journal of Engineering, 2018
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
doaj   +2 more sources

Power transformer fault diagnosis system based on Internet of Things [PDF]

open access: yesEURASIP Journal on Wireless Communications and Networking, 2021
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
doaj   +3 more sources

Fault diagnosis system based on Dynamic Fault Tree Analysis of power transformer

open access: yes2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
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
core   +4 more sources

Application of Rough Set in Fault Diagnosis of Power Transformer

open access: yesGong-kuang zidonghua, 2011
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
doaj   +1 more source

A Safe-Domain Generative Adversarial Network with Swin Transformer for Noisy Imbalanced Fault Diagnosis. [PDF]

open access: yesSensors (Basel)
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

open access: yesMicromachines, 2022
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
openaire   +3 more sources

Fault Diagnosis of Power Transformers With Membership Degree [PDF]

open access: yesIEEE Access, 2019
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
openaire   +3 more sources

Early fault diagnosis of transformer winding based on leakage magnetic field and DSAN learning method

open access: yesFrontiers in Energy Research, 2023
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
doaj   +1 more source

Transformer Hierarchical Fault Diagnosis Model Based on Dissolved Gas Analysis of Insulating Oil and Class Overlap Features

open access: yesZhongguo dianli, 2022
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
doaj   +1 more source

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