The invention provides an extra-
high voltage converter
transformer early warning method based on master-slave mechanism-parameter sharing. The method comprises the steps that firstly, a converter
transformer-master-slave mechanism structure is constructed, and historical data of to-be-predicted parameters, current moment data of other parameters in a master node converter
transformer and dimension reduction coding information of parameters in other slave node converter transformers are obtained to serve as a
supervised learning sample set; constructing a seq2seq
time sequence prediction model, and training to obtain a parameter sharing high-precision model; obtaining real or simulated abnormal data of the related variable according to the fault category, and training to obtain a fuzzy discrimination model; and finally, according to a prediction result of the related parameters, calculating a kurtosis coefficient of the membership probability, and removing
false alarm information to generate corresponding early warning information. According to the method, the
edge node network model is constructed, the master-slave mode is adopted, cross-device key
information sharing and inter-device key
information sharing are achieved,
time sequence prediction of
device parameters is carried out in combination with the
time sequence prediction model, collaborative information between the parameters is effectively fused, and therefore prediction precision is improved. And meanwhile, a
fuzzy set of equipment parameters is constructed by introducing a fuzzy theory, so that alarm triggering conditions are enriched, and the flexibility and robustness of the
early warning system are enhanced.