Influence of Design and Operating Practices on Excitation of Generator Step-Up Transformers

Alexander, G. W.; Corbin, S. L.; McNutt, W. J.

doi:10.1109/tpas.1966.291651

Cited by 17 publications

(1 citation statement)

References 2 publications

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“…Main transformers are important equipment for power generation of nuclear facilities. They are in a high-load long-term condition and are more prone to failure caused by aging [9]. Meanwhile, due to the particularity of nuclear power refueling overhaul and the conservative culture of nuclear power [10], the maintenance strategy of nuclear equipment is more rigorous and conservative, and the failure modes of main transformers may be slightly different.…”

Section: Introductionmentioning

confidence: 99%

An Unsupervised Mutual Information Feature Selection Method Based on SVM for Main Transformer Condition Diagnosis in Nuclear Power Plants

Jun

2022

Sustainability

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Dissolved gas in oil (DGA) is a common means of monitoring the condition of an oil-immersed transformer. The concentration of dissolved gas and the ratio of different gases are important indexes to judge the condition of power transformers. Monitoring devices for dissolved gas in oil are widely installed in main transformers, but there are few recorded fault data of main transformers. The special operation and maintenance modes of main transformers leads to the fault modes particularity of main transformers. In order to solve the problem of insufficient samples and the feature uncertainty, this paper puts forward an unsupervised mutual information method to select the feature verified by the optimized support vector machine (SVM) model of particle swarm optimization (PSO) method and tries to find the feature sequence with better performance. The methos is validated by data from nuclear power transformers.

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Section: Introductionmentioning

confidence: 99%