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Multi-modal fusion fault diagnosis for high-voltage transformers based on STFT-ResBIGRUNet. [PDF]
Sci RepYuan J, Liu C, Zheng B, Pan M.
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An unsupervised approach for fault diagnosis of power transformers
Quality and Reliability Engineering International, 2021AbstractElectrical utilities apply condition monitoring on power transformers (PTs) to prevent unplanned outages and detect incipient faults. This monitoring is often done using dissolved gas analysis (DGA) coupled with engineering methods to interpret the data, however the obtained results lack accuracy and reproducibility.
Luis Dias +6 more
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Fuzzy approaches for fault diagnosis of transformers
Fuzzy Sets and Systems, 2001Dissolved gas analysis has been used as a diagnostic method to determine the conditions of transformers for a long time. The criteria used in dissolved gas analysis are based on crisp value norms. Due to the dichotomous nature of crisp criteria, transformers with similar gas-in-oil conditions may lead to very different conclusions of diagnosis ...
An-Pin Chen, Chang-Chun Lin
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Transformer Fault On-line Diagnosis System
2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI), 2019The normal operation of power transformer plays an important role in the safety and stability of power system. In view of the special environment where mine transformers are exposed to strong radiation and more interference, a fault diagnosis system for transformers with multi-source information fusion is developed in this paper.
Lin Yan, Wei Wang, Ying Zhang
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The transformer fault diagnosis combing KPCA with PNN
2014 International Joint Conference on Neural Networks (IJCNN), 2014The probabilistic neural network (PNN) can detect the complex relationships and be used to develop its basis for the interpretation of dissolved gas-in-oil data that can identify the fault types. An efficient algorithm known as the kernel principle component analysis (KPCA) is applied to increase features in order to get higher detection accuracy. KPCA
Chenxi Dai, Zhigang Liu 0001, Yan Cui
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A New Testing Method for the Diagnosis of Winding Faults in Transformer
IEEE Transactions on Instrumentation and Measurement, 2020In this article, a new testing method for the diagnosis of winding faults based on the resonant frequency of the transformer is proposed. The system that consists of the high-voltage dc power and high-voltage insulated gate bipolar transistor (IGBT) could charge the transformer periodically.
Zhenyu Wu 0008 +6 more
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A Transformer Model-Based Approach to Bearing Fault Diagnosis
2021Bearings are an important component in rotating machinery and their failure can lead to serious injuries and economic losses, therefore the diagnosis of bearing faults and the guarantee of their smooth operation are essential steps in maintaining the safe and stable operation of modern machinery and equipment.
Zhenshan Bao +5 more
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Modeling and Analysis of Transformer Fault Diagnosis
2019 Chinese Control Conference (CCC), 2019Power transformer is one of the most important equipment in an electric power system. Therefore, the condition monitoring of the power transformer is greatest requirement for its reliable operations and quality power supply in the power grid. Dissolved Gas Analysis (DGA) is a traditional method to detect and diagnose faults in power transformers ...
Jing Yang +7 more
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