Transformer Mechanical Fault Diagnosis Method Based on Symmetrized Dot Patter and Image Matching
Zhao Lihua1,2, Xu Li1,2, Liu Yan2, Liu Jianben2, Huang Xiaolong1,2
1. College of Electrical Engineering Sichuan University Chengdu 610065 China; 2. State Key Laboratory of Power Grid Environmental Protection Wuhan 430070 China
Abstract：The vibration signal of the transformer body is closely related to its mechanical state, and this feature can be used to distinguish the mechanical fault of the transformer. A transformer mechanical fault diagnosis method based on point symmetry transformation (SDP) and image matching in this paper was proposed. First, the initial signal is decomposed by ensemble empirical mode decomposition (EEMD), and appropriate components are selected to reconstruct the signal and remove the transformer Interference from oneself and the external environment; then the SDP image of the reconstructed vibration signal is obtained by SDP, use the clustering method to extract common features of part of the images which are selected from each type of fault and the typical fault template under each type of fault is obtained; finally, by comparing the similarity between the SDP image of the unknown fault signal and the SDP image of various typical fault templates, the best match is achieved to complete the diagnosis of the mechanical fault of the transformer. The results of the test transformer show that there are obvious characteristic differences between SDP images of different types of mechanical faults; this method can realize effective discrimination of mechanical faults. Compared with traditional mechanical fault diagnosis methods, the method proposed in this paper takes into account external high-frequency interference, avoids the cumbersome steps of extracting multiple feature quantities, is simple to operate with high accuracy.
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2021, Vol. 36 
