摘要：Power transformer is an essential component in the power systems. The concentration of fault characteristic gases dissolved transformer oil is essential to the insulation fault diagnosis. The concentration prediction of the gases is an important supplement for periodical testing. A NMGM(1, 5)model using Nou-equidistance Multivariable grey theory for the five characteristic gases dissolved in transformer oil, i.e. hydrogen, methane, ethane, ethylene, acetylene, was constructed. In the built model, the interaction among these gases was comprehensively considered and the disadvantage that only one index extracted from the signal or each index that was dealt with separately was made up, meanwhile, the scope of application is enlarged. Two actual prediction cases were analyzed and the results were compared with those obtained by Non-equidistant GM(1, l)model. The comparison result indicates the validity and efficiency of the proposed model.
