Dynamic decomposition and multilevel feature fusion for dissolved gas in oil anomaly detection

IF 4.2 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research Pub Date : 2025-10-01 DOI:10.1016/j.epsr.2025.112303

Leixiao Lei , Yigang He , Zhikai Xing

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引用次数: 0

Abstract

The non-stationarity and dynamic change problems existing in the time series data lead to the limited accuracy in outlier identification. Therefore, this paper proposes an outlier identification method based on dynamic decomposition and Multi-feature Fusion (DDMMF). Firstly, the dynamic decomposition method based on deep residual separation effectively captures the correlations and co-variation patterns among different gas components. Secondly, a multi-scale feature fusion strategy is introduced to alleviate the problem of local information loss caused by the limitation of internal potential space and enhance the accuracy of data reconstruction. And the reconstruction error is calculated to achieve the effective detection of outliers. The experiment uses 1000 kV and 110 kV transformer dissolved gas data to verify the model’s validity and generalization across voltage levels. Experimental results show that the outlier recognition accuracy of DDMMF reaches 0.947, outperforming other comparison methods.

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石油异常检测中溶解气的动态分解与多级特征融合

由于时间序列数据存在非平稳性和动态变化问题，导致异常值识别的精度有限。为此，本文提出了一种基于动态分解和多特征融合（DDMMF）的离群点识别方法。首先，基于深度残留分离的动态分解方法有效捕获了不同气体组分之间的关联和共变模式；其次，引入多尺度特征融合策略，缓解了由于内部势空间的限制导致的局部信息丢失问题，提高了数据重建的准确性；并对重构误差进行计算，实现对异常点的有效检测。利用1000 kV和110 kV变压器溶解气体数据验证了该模型跨电压等级的有效性和通用性。实验结果表明，DDMMF的离群点识别准确率达到0.947，优于其他比较方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Electric Power Systems Research 工程技术-工程：电子与电气

CiteScore

7.50

自引率

17.90%

发文量

963

审稿时长

3.8 months

期刊介绍： Electric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new designapproaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview. • Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation. • Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design. • Substation work: equipment design, protection and control systems. • Distribution techniques, equipment development, and smart grids. • The utilization area from energy efficiency to distributed load levelling techniques. • Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.