Transformer state fuzzy set pair assessment method based on matter-element augmentation extensive correlation

The invention discloses a transformer state fuzzy set pair evaluation method based on matter-element augmentation extensive correlation, comprising steps of performing classification on a transformer fault sample set according to a set fault type, performing equivalent augmentation on the classified fault sample sets through a random weighting method, constructing a fault type-fault symptom correlation identification matrix based on augmented fault sample sets to obtain a reduced correlation frequency fault set matrix of each fault type and an optimized fault symptom constant weight coefficient, constructing a transformer fault symptom set data dictionary classical domain and a joint domain through combination with a matter-element extensive theory so as to obtain a matter-element correlation function of each fault symptom and solve a variable weight coefficient corresponding to each fault type, calculating an identical discrepancy contrary evaluation matrix needed by the transformer state evaluation through