Failure Rate Prediction of a Power Transformer: A Decomposition-Based Bayesian Deep Learning Method

Failure Rate Prediction of a Power Transformer: A Decomposition-Based Bayesian Deep Learning Method

Power transformers, as essential equipment for electricity transmission, may fail due to insulation degradation. Predicting the failure rate of power transformers precisely is beneficial to decision-making. Currently, uncertainties of the prediction have not been deeply discussed. Besides, predictio...

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Bibliographic Details
Main Authors:	Weixin Zhang, Changzheng Shao, Wei Huang, Bo Hu, Jiahao Yan, Kaigui Xie, Maosen Cao, Zhengze Wei
Format:	Article
Language:	English
Published:	China electric power research institute 2025-01-01
Series:	CSEE Journal of Power and Energy Systems
Subjects:	Bayesian deep learning dissolved gas analysis failure rate prediction long short-term memory variational mode decomposition
Online Access:	https://ieeexplore.ieee.org/document/10026211/
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