The invention provides a method for quickly discriminating an abnormal operating condition of electrical equipment. The method specifically comprises the steps of firstly removing a switching quantity record during an equipment maintenance period from a switching quantity record of the operating equipment; calculating the operating time and probability distribution of the equipment; then regarding the switching quantity record beyond 1.96 times of a mean square error to be a switching quantity record of the abnormal operating condition by taking an average value or the maximum frequency value as a center according to whether the probability density distribution is bilaterally symmetrical or not; and finally calculating a mean square error of the probability distribution after the abnormal operating condition record is removed, wherein if the mean square error is less than a threshold delta0, the equipment is unstable in operation, and maintenance needs to be carried out on the equipment timely, and if the mean square error is greater than the threshold delta0, the equipment is stable in operation, and no inspection and maintenance needs to be carried out on the equipment. The method provided by the invention can separate the switching quantity record at an abnormal operating state from the switching quantity record, and provides a reliable scheme for state evaluation and state maintenance of the operating equipment.