The invention discloses a
transformer shielding fault intelligent diagnosis method based on multi-
modal data and a
transformer, and the method comprises the steps: collecting the multi-
modal data and topological structure data of a shielding layer, calculating a
time sequence entropy change sequence, and constructing a three-dimensional
coupling data set;
processing the three-dimensional
coupling data set by adopting an entropy change
perception graph
attention network, outputting a three-dimensional
coupling feature vector and topological
connectivity, and calculating
modal feature anomaly based on the three-dimensional coupling
feature vector; outputting a topological
distortion position and an entropy change abrupt change point through a combined self-
encoder; respectively calculating a topology
distortion degree and an entropy change standard exceeding degree; inputting the modal feature anomaly degree, the topological
distortion degree and the entropy change overproof degree into an improved fuzzy
Bayesian inference model, and outputting a fault diagnosis result by the improved fuzzy
Bayesian inference model; by collecting the multi-
modal data and combining the topological structure data and the entropy change characteristics, the fault of the shielding layer can be accurately judged, so that the shielding layer can be processed in time, and stable operation of the high-frequency
transformer is guaranteed.