Fault Detection and Isolation for Wind Turbine Electric Pitch System

被引：0
|
作者：
Zhu, Jiangsheng [1 ]
Ma, Kuichao [1 ]
Hajizadeh, Amin [1 ]
Soltani, Mohsen [1 ]
Chen, Zhe [2 ]
机构：
[1] Aalborg Univ, Energy Technol Dept, Esbjerg, Denmark
[2] Aalborg Univ, Energy Technol Dept, Aalborg, Denmark
来源：
2017 IEEE 12TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND DRIVE SYSTEMS (PEDS) | 2017年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a model-based fault detection and isolation scheme applied on electric pitch system of wind turbines. Pitch system is one of the most critical components due to its effect on the operational safety and the dynamics of wind turbines. Faults in this system should be precisely detected to prevent failures and decrease downtime. To detect faults of electric pitch actuators and sensors, an extended kalman filter (EKF) based multiple model adaptive estimation (MMAE) designed to estimate the states of the system. The proposed method is demonstrated in case studies. The simulation results show that the proposed method detects different fault scenarios of wind turbines under the stochastic external condition.
引用
收藏
页码：618 / 623
页数：6
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