Abstract
A mathematical statistics based measurement condition assessment method for electronic transformers is proposed in this paper. The key to this method is to calculate the feature information which can reflect the measurement condition of electronic transformer by analyzing the sampling value. The feature information obeys specific statistical distributions in normal condition. First, the sampling values are truncated by equal time intervals, then the initial phases are calculated and then differentiated. Finally, an approximation method is used to eliminate the influence of frequency fluctuations and the feature information which obeys normal distribution can be obtained. When the condition of the electronic transformer deteriorates, the distribution parameters of the feature information change. Changes are identified by mathematical statistics method so as to evaluate the measurement condition of the electronic transformers. The verification experiment is designed. The results show that this method can effectively identify the measurement noise of the electronic transformer.
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