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| Content Provider | frontiers |
|---|---|
| Author | Zhou, Xiu Luo, Yan Tian, Tian Bai, Haonan Wu, Peng Liu, Weifeng |
| Abstract | When the transformer is running, the vibration which is generated in the core and winding will spread outward through the medium of metal, oil, and air. The magnetic field of the core changes with the variation of the transformer excitation source and the state of the core, so the corresponding vibration and noise change. Therefore, the vibration and noise of the transformer contain a lot of information. If the information can be associated with the fault characteristics of the transformer, it is significant to evaluate the running state of the transformer through the vibration and noise signal, which improve the intelligence, safety, and stability of the transformer operation. Based on this, modeling and simulation of transformer multi-point grounding, DC bias, and short-circuit between silicon steel sheets fault are first carried out in this paper, and vibration and noise distribution of transformer under different faults are given. Second, a fault diagnosis method based on transformer vibration and noise characteristics is proposed. In the process of implementation, vibration and noise signals under multi-point grounding, DC bias, and short-circuit between silicon steel sheets are taken as the sample data, and the probabilistic neural network algorithm is used to effectively predict the transformer fault. Finally, the effectiveness of the proposed scheme is verified by identifying the simulation faults-the proposed fault diagnosis method based on PNN can be effectively ... |
| ISSN | 2296598X |
| DOI | 10.3389/fenrg.2023.1169508 |
| Volume Number | 11 |
| Journal | Frontiers in Energy Research |
| Language | English |
| Publisher Date | 2023-04-27 |
| Access Restriction | Open |
| Subject Keyword | Short-circuit between silicon steel sheets6 Fault diagnosis7 Probabilistic neural networks3 Vibration and noise2 DC bias4 Transformer1 Multipoint grounding5 |
| Content Type | Text |
| Resource Type | Article |
| Subject | Economics and Econometrics Renewable Energy, Sustainability and the Environment Fuel Technology Energy Engineering and Power Technology |
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