Power Transformer State Identification Method based on Operational Deflection Shapes and Visual Measurement Technology

Abstract

To effectively identify the working state of the power transformers, a state identification method based on operational deflection shapes (ODS) and visual measurement technology is proposed. Firstly, a high-speed camera is used to obtain the vibration video image of the measured structure, and then, the dense optical flow method in the visual measurement technology is used to capture the transformer motion information. Finally, the ODS cloud image of the measured structure is obtained. The feasibility of this method is verified by the cantilever beam vibration experiment. The proposed method is applied to the vibration analysis of power transformers, and the operational deflection shapes of the equipment are obtained under the corresponding conditions by simulating the loosening conditions of transformer bolts in different degrees. The experiment results show that the method in this paper can effectively characterize different working conditions of power transformers and provide a reliable state analysis for them.