Diagnosis system and method for fault classification and positioning of transformer winding

Abstract

The invention discloses a diagnosis system and method for fault classification and positioning of a transformer winding. The system comprises a sweep generator, a transformer winding, a detection terminal, an inductor L1, a divider resistor R1, a divider resistor R2 and a capacitor C. The sweep generator outputs a sweep-frequency signal, the sweep-frequency signal is input to the transformer winding from a grounding point N through the inductor L1 and the divider resistor R1, flows through a high-voltage winding A in the transformer winding and is output, and after the sweep-frequency signal passes through a capacitor C and is divided by the divider resistor R2, sweep-frequency data is collected by the detection terminal; and the detection terminal diagnoses the fault type and position of the transformer winding through a constructed deep learning convolutional neural network model. According to the method, the fault positioning problem is solved on the basis of realizing high-precision fault type diagnosis, and the method has certain engineering significance. The method and the system have a good effect on a simulation sample constructed in the invention, the fault type diagnosis precision is up to 100%, and the fault positioning accuracy is up to 83.33%.

Description

technical field [0001] The invention relates to the field of fault diagnosis of electrical equipment, in particular to a diagnosis system and method for fault classification and location of transformer windings. Background technique [0002] As an internal fault, transformer winding fault is a cumulative fault. The frequency response method has high sensitivity to winding faults. Compared with other detection methods, it can detect faults more timely and effectively, and prevent undetected small deformations from gradually evolving into larger deformation faults, which pose a threat to the operation of the power grid, so it has received widespread attention. Among the existing diagnostic methods, a large number of studies have used the frequency sweep impedance method to analyze the single fault sweep curve and the change of impedance value. However, the impedance value does not vary monotonically with the fault location. Only using the impedance value as a criterion cann...

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Problems solved by technology

The invention makes fault classification and positioning problem diagnosis effect good

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