Because the samples are divided equally and the division is sensitive to the initial value in fuzzy clustering method

this paper applies PSO-WFCM algorithm to detection of dissolved gas for fault diagnosis of power transformer. In PSO-WFCM algorithm

the dissolved gas in oil is taken as the characteristic quantity of fault

and PSO is adopted to obtain the optimal initial cluster centers for achieving the final cluster centers via fuzzy clustering. Experiments show that the proposed method makes up for the deficiency of fuzzy clustering method

and improves fault diagnosis for transformer.