Identification of Abnormal data in online dissolved gas monitoring in oil based on PCA and Fast-MCD

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更新时间：2025-09-16

- Identification of Abnormal data in online dissolved gas monitoring in oil based on PCA and Fast-MCD
- “In the field of monitoring dissolved gases in transformer oil, experts have proposed an anomaly data recognition method based on PCA and Fast MCD, with an accuracy rate of up to 99.1%.”
- Moren Journal (2025)
- 作者机构：
  
  1.国网浙江省电力有限公司电力科学研究院，杭州 310014
  2.中国计量大学机电工程学院，杭州 310018
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Received：13 August 2024，
  
  Revised：2024-10-14，
- 稿件说明：
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WANG Ziling, WANG Ke, CHAI Weijian, et al. Identification of Abnormal data in online dissolved gas monitoring in oil based on PCA and Fast-MCD[J/OL]. Moren journal, 2025.
DOI：

WANG Ziling, WANG Ke, CHAI Weijian, et al. Identification of Abnormal data in online dissolved gas monitoring in oil based on PCA and Fast-MCD[J/OL]. Moren journal, 2025. DOI：

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