A modified approach for application of Augmented Extended Kalman filter for stator interturn fault diagnosis of a synchronous generator

被引：0
|
作者：
Nag, P. V. Sunil [1 ]
Kumar, C. Santhosh [1 ]
Thampatty, K. C. Sindhu [2 ]
Isha, T. B. [1 ]
机构：
[1] Amrita Vishwa Vidyapeetham, Dept Elect & Commun Engn, Amrita Sch Engn, Coimbatore, Tamil Nadu, India
[2] Amrita Vishwa Vidyapeetham, Dept Elect & Elect Engn, Amrita Sch Engn, Coimbatore, Tamil Nadu, India
来源：
2018 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENERGY SYSTEMS (ICEES) | 2018年
关键词：
interturn fault; synchornous geneator; Extended Kalman Filter; model based; residual signal; DETECT;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Stator interturn fault diagnosis of electrical machines has been a very intensely researched area. The synchronous generator (SG) is a very important component of a power system and there are only a few works that deal with the model based approach to fault diagnosis of a wound rotor synchronous generator. This work deals with the application of augmented Extended Kalman Filter (EKE) to obtain the residual signal for an SG. This signal contains the signature of the fault and can distinguish an interturn fault from a load imbalance of similar magnitude.
引用
收藏
页码：465 / 469
页数：5
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