Transformer fault diagnosis method based on coupled hidden Markov model

A Hidden Markov, Transformer Fault Technology, applied in instruments, scientific instruments, measuring devices, etc., can solve the problems of high probability of observation sequence and unknown model parameters, etc.
CN104897784AInactive Publication Date: 2015-09-09STATE GRID CORP OF CHINA +3
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
STATE GRID CORP OF CHINA
Publication Date
2015-09-09
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a transformer fault diagnosis method based on a coupled hidden Markov model, which belongs to the technical field of electrical equipment state monitoring and fault diagnosis. The method adopts left and right hidden Markov chains, measured values of five gases in oil chromatography are input as observed values of one chain, corresponding ratio values of the five gases are input as observed values of the other chain, and then transformer fault diagnosis is carried out. The method provided by the invention retains the advantages of the hidden Markov model, is applicable to analysis of non-stationary signals with poor repeatability and can carry out fault diagnosis based on multichannel information.
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Description

technical field

[0001] The invention belongs to the technical field of state monitoring and fault diagnosis of electric equipment, and in particular relates to a transformer fault diagnosis method based on transformer oil chromatographic data. Background technique

[0002] Large-scale power transformers are important electrical equipment in the power system, and their operating status directly affects the safe and stable operation of the power system, especially for power transformers that need to operate for a long time, the reliability issue is very important, once a failure occurs Huge economic losses will be caused. With the development of modern power systems towards large capacity and ultra-high voltage, there are higher requirements for power supply reliability. Therefore, it is of great significance to carry out fault diagnosis and monitoring of transformers.

[0003] Dissolved Gas Analysis (DGA) in oil is quite effective in finding latent faults inside the transfor...

Claims

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