The invention discloses a
high voltage equipment state predicting method. The method comprises the following steps: (1) actually detecting historical data of gas components of at least one kind of
transformer oil dissolved gas and / or SF6 gas in
high voltage equipment, namely, detecting data of gas components in various periods on the condition that the equipment is an
electrification mode; (2) utilizing the historical data in the step (1) and adopting a
least squares curve fitting method to legally obtain the component data of corresponding gas in the
high voltage equipment at certain time in future, namely, obtaining a characteristic curve changing along with time, and eventually obtaining long-time discharging or overheating stability data of the equipment, wherein the numerical value of the characteristic curve possibly continuously tends to be stable; (3) through a vector supporting
machine, utilizing the component data, of the corresponding gas in the high
voltage equipment at certain time in future, obtained in the step (2) to predict the failure state type of the high
voltage equipment. The high
voltage equipment state predicting method has the advantages of being low in dependence on experiences, strong in anti-interference ability and generalization ability, high in accuracy and capable of solving a multi-classification problem.