Anomaly detection for condition monitoring data using auxiliary feature vector and density‐based clustering

Author:

Liu Hang1,Wang Youyuan1,Chen WeiGen1

Affiliation:

1. State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing UniversityChongqing400044People's Republic of China

Funder

National Aerospace Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

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1. A New Validity Detection Method of Online Status Monitoring Data for Power Transformer;IEEE Access;2024

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3. Anomaly Detection Method for Online Monitoring Data of Dissolved Gas in Transformer Using Stacking Ensemble Learning;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

4. Transformer State Data Cleaning Method Based on DBSCAN and ESN;2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia);2023-07-07

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