In order to make up for the deficiency of the current monitoring methods for converter transformer and its accessories, an intelligent monitoring system for the operation parameters and environment of the converter transformer is designed based on the monitoring of the converter transformer. The current monitoring means are expanded and the key operation parameters and operation environment monitoring information of the converter transformer are further integrated. Statistical analysis method and DBN neural network are used to analyze the running state of the converter and realize the condition monitoring and evaluation of the converter and its accessories. The operating status of equipment is effectively perceived and analysis and decision-making basis for carrying out condition maintenance are provided.
CITATION STYLE
Zhou, C., Liu, Y., Li, Y., & Zhang, G. (2021). Research and Application of Online Monitoring and Early Warning System for Converter Transformer. In IOP Conference Series: Earth and Environmental Science (Vol. 651). IOP Publishing Ltd. https://doi.org/10.1088/1755-1315/651/2/022017
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