The current method of power data consistency test based on gray correlation analysis verifies the consistency of data by measuring the shape and distance between data sequences, which leads to low accuracy of the test due to high data redundancy. In this regard, the consistency check of power fault multi-source heterogeneous big data under common factor structure is proposed. The Kalman filter algorithm is used to reduce the redundancy of power fault data, and the consistency discriminant criterion is established to realize the consistency test of power fault multi-source heterogeneous data by discriminating the cofactor relationship between the data. In the experiments, the proposed method is verified for testing accuracy. The analysis of the experimental results shows that the proposed method is used to test the consistency of power fault data, and its test error is low and has a high test accuracy.
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