Transformer fault diagnosis method based on fuzzy Petri net

The invention relates to a transformer fault diagnosis method based on a fuzzy Petri net. The method comprises the steps of firstly, constructing a transformer fault diagnosis model by using the fuzzy Petri net; performing separation by using a gas chromatography to obtain a concentration value of gas in transformer oil; acquiring the increase speed of the gas in the transformer oil through a gas generation rate formula; an obtaining initial identification of a model through combination of the concentration value and the gas generation rate of the gas in the comprehensive transformer oil; and performing rational analysis of transformer fault diagnosis by using the transformer fault diagnosis model to obtain a diagnosis result. According to the transformer fault diagnosis method based on the fuzzy Petri net, weighted sum of values of values on input arcs of the processed transitional range of input places serve as the fault possibility, so that the problems such as missing determination, false determination and incapability of determination of transformer faults are solved, the possibility of each of faults is given quantitatively, and the diagnosis accuracy is improved.