Wind Turbine Condition Monitoring Based on SCADA Data Co-integration Analysis

被引：1

作者：

Zhang, Chao ^{[1
]}

Zhao, Guanghan ^{[1
]}

Wu, Yue ^{[1
]}

机构：

[1] Inner Mongolia Univ Sci & Technol, Coll Mech Engn, Baotou 014010, Inner Mongolia, Peoples R China

来源：

PROCEEDINGS OF INCOME-VI AND TEPEN 2021: PERFORMANCE ENGINEERING AND MAINTENANCE ENGINEERING | 2023年 / 117卷

基金：

中国国家自然科学基金;

关键词：

Cointegration analysis; Condition monitoring; Non-stationary; Wind turbine;

D O I：

10.1007/978-3-030-99075-6_9

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A wind turbine condition monitoring method based on cointegration analysis is proposed. The co-integration residual obtained by the co-integration process of the SCADA data of the wind turbine is used for monitoring the operation state of the wind turbine. Take the experimental data of a 1.5 MW doubly-fed wind turbine from Jinjie Company in Baotou City, Inner Mongolia, under different environmental and operating conditions, and conduct experiments on the proposed method. The method was tested with known failure cases. The results show that this method can effectively monitor the running status of wind turbines.

引用

页码：97 / 103

页数：7

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