Converter transformer fault online diagnosis method based on three-sensor reasoning
A technology for converter transformers and diagnostic methods, applied to instruments, measuring electrical variables, measuring devices, etc., can solve problems such as insufficient diagnostic accuracy, lack of real-time early warning diagnosis of converter transformers, and failure to fully reflect converter transformer faults, etc. To achieve the effect of improving the recognition accuracy
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[0023] The present invention provides a fault diagnosis method based on three-sensor inference. The following is an explanation with reference to the drawings.
[0024] Such as figure 1 As shown, the present invention is a converter transformer fault on-line diagnosis method based on three-sensor reasoning. First, the current on-line detector in engineering is used as three types of sensors: UHF, broadband pulse and TEV detector to obtain the converter transformer The method includes the following five steps: (1) Extract effective discharge information from the online data of the actually measured converter transformer, (2) Establishment of three sensor feature spaces, (3) Three feature space fault diagnosis results, (4) Judge the similarities and differences of the three types of fault diagnosis results, (5) Output the final diagnosis results. Due to the inevitable noise signal in the discharge data, which affects the discharge diagnosis, in order to obtain effective discharge ...
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