The condition monitoring of wind turbine gearbox based on cointegration

机译：基于协整的风机齿轮箱状态监测

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Condition monitoring of wind turbine gearbox based on cointegration by vibration signals is investigated in this research. Firstly, we establish cointegration model of gearbox in normal condition and analyze the stability of the residuals calculated by cointegration model. According to the principle of cointegration, once gearbox failure occurs, the cointegration relationship is broken and the stability of residuals changes. Therefore, we set thresholds of residuals as the early failure warning condition. Finally, through the simulation analysis of gearbox fault data, the computational results verify the effectiveness of proposed approach in monitoring condition of wind turbine gearbox.

机译：研究了基于振动信号协整的风力发电机齿轮箱状态监测。首先，建立正常状态下齿轮箱的协整模型，并分析协整模型计算出的残差的稳定性。根据协整原理，一旦齿轮箱发生故障，协整关系就会破裂，残差的稳定性也会发生变化。因此，我们将残差阈值设置为早期故障警告条件。最后，通过对齿轮箱故障数据的仿真分析，计算结果验证了该方法在风机齿轮箱状态监测中的有效性。

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来源
《2016 IEEE International Conference on Power System Technology》|2016年|1-6|共6页
会议地点 Wollongong(AU)
作者
Hongshan Zhao; Huihai Liu; Hui Ren; Hongyang Liu;
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作者单位

North China Electric Power University, Baoding, Hebei China;

North China Electric Power University, Baoding, Hebei China;

North China Electric Power University, Baoding, Hebei China;

North China Electric Power University, Baoding, Hebei China;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Wind turbines; Vibrations; Mathematical model; Market research; Monitoring; Analytical models; Stability analysis;

机译：风力发电机;振动;数学模型;市场研究;监测;分析模型;稳定性分析;

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1. An artificial neural network-based condition monitoring method for wind turbines, with application to the monitoring of the gearbox [J] . Bangalore P., Letzgus S., Karlsson D., Wind Energy . 2017,第8期

机译：基于人工神经网络的风机状态监测方法及其在变速箱监测中的应用
2. Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data [J] . Phong B. Dao, Wieslaw J. Staszewski, Tomasz Barszcz, Renewable energy . 2018,第PTaB期

机译：基于SCADA数据协整分析的风机状态监测与故障检测
3. A novel blind deconvolution based on sparse subspace recoding for condition monitoring of wind turbine gearbox [J] . Ma Zhipeng, Zhao Ming, Li Bowen, Renewable energy . 2021,第Juna期

机译：一种基于稀疏子空间重新编码的新型盲解卷积，用于风力涡轮机齿轮箱的状态监测
4. The condition monitoring of wind turbine gearbox based on cointegration [C] . Hongshan Zhao, Huihai Liu, Hui Ren, IEEE International Conference on Power System Technology . 2016

机译：基于协整的风力涡轮机齿轮箱的状态监测
5. An Integrated Prognostics Condition-Based Maintenance Approach to Reduce Premature Failure of Wind Turbines' Gearbox Components [D] . Issahak, Ahmed. 2021

机译：基于综合的预测条件维护方法，以减少风力涡轮机齿轮箱组件的过早失效
6. Wind Turbine Gearbox Condition Monitoring Based on Class of Support Vector Regression Models and Residual Analysis [O] . Harsh S. Dhiman, Dipankar Deb, James Carroll, 2020

机译：基于支持向量回归模型的风力涡轮机齿轮箱状态监测及剩余分析
7. Condition Monitoring of Wind Turbine Gearbox Bearing Based on Deep Learning Model [O] . Jian Fu, Jingchun Chu, Peng Guo, 2019

机译：基于深度学习模型的风力涡轮机齿轮箱轴承的状态监测

The condition monitoring of wind turbine gearbox based on cointegration

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