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Degree:Doctoral Degree in Engineering
Status:Employed
School/Department:电气工程学院

Yang Ming

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Gender:Male

Education Level:Postgraduate (Doctoral)

Alma Mater:山东大学

Paper Publications

Current position: Home / Papers
Data-Driven Anomaly Detection Method Based on Similarities of Multiple Wind Turbines
Release Time:2025-10-08 | Hits:

Institution:电气工程学院

Title of Paper:Data-Driven Anomaly Detection Method Based on Similarities of Multiple Wind Turbines

Journal:Journal of Modern Power Systems and Clean Energy

First Author:Zeng, Xiangjun

Document Code:1806576765491695617

Volume:12

Issue:3

Page Number:803-818

Translation or Not:No

Date of Publication:2024-05