In this paper we propose a method for analyzing the operation health of a large number of all-fiber optical current transformers used in UHV converter stations by studying the correlations of their operating parameters. This method firstly realizes automatic data sampling of operation parameters of all-fiber optical current transformers by building a monitoring network. Then the method calculates the deviations of the operating conditions from their ideal values and the correlations between the relative parameters, thus achieves the operation health condition of the main functional modules in optical current transformers. Finally, through big data analysis, the comprehensive health index and service life of each optical current transformer are predicted. The proposed method can realize the health monitoring of all optical current transformers, which will guarantee their reliable operations and decrease the potential faults.
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