A Transformer Gas Fault Diagnosis and Alarm Method Based on Multidimensional Feature Quantities

Abstract

The invention provides a transformer gas fault diagnosis and alarm method based on multidimensional characteristics. The method comprises a step of bad data processing and a step of transformer alarm diagnosis. The concentration values of gases dissolved in transformer oil are acquired through an on-line monitoring system, data is fed back to a host computer management system, and then a transformer fault prediction and alarm system starts a data validity algorithm routine to determine the validity of the measured data and to process the measured data, i.e., to determine whether the data is bad data and to process the data; after the data is determined to be valid, the system starts a data fault false alarm determination algorithm routine for transformer fault determination, and whether to give an alarm or not is determined according to a measurement threshold value table of a transformer on-line monitoring device; whether a transformer has a fault or not is eventually determined by using a related gas alarm algorithm in a transformer fault false alarm determination program, i.e., whether an alarm is a false alarm is determined; and if it is determined that the alarm is a false alarm, the transformer is determined to be normal, otherwise the transformer is determined to have a fault.

Description

technical field [0001] The invention relates to a transformer gas fault diagnosis and alarm method based on multidimensional feature quantities, and belongs to the technical field of power equipment fault detection and alarm. Background technique [0002] Oil-filled power transformers will age and deteriorate under the action of electricity or heat during long-term operation and produce a small amount of gas. When there is a thermal or electrical fault in the transformer, seven characteristic gases that are valuable for judging transformer faults, namely hydrogen (H 2 ), methane (CH 4 ), ethane (C 2 h 6 ), ethylene (C 2 h 4 ), acetylene (C 2 h 2 ), carbon monoxide (CO), carbon dioxide (CO 2 ). If it is not artificially vented, the gas produced will dissolve into the transformer oil. Therefore, by measuring the concentration of dissolved gas in the transformer oil, it can be judged whether the transformer is faulty. [0003] In the existing on-line monitoring syste...

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Problems solved by technology

[0006] (2) The effect of oil and gas separation affects the determination of gas concentration, and the value will fluctuate

[0007] (3) The measurement accuracy of the chromatographic column affects the gas concentration value

[0008] Due to these influencing factors, the data of the measured gas presents irregular fluctuations, resulting in bad data in the measured value data

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