Open-circuit and inter-turn short-circuit detection in PMSG for wind turbine applications using fuzzy logic

被引：9

作者：

Bechkaoui, A. ^{[1
]}

Ameur, A. ^{[2
]}

Bouras, S. ^{[1
]}

Hadjadj, A. ^{[2
]}

机构：

[1] Annaba Univ, Dept Electromech Engn, Annaba, Algeria

[2] Laghouat Univ, Dept Elect Engn, Laghouat, Algeria

来源：

INTERNATIONAL CONFERENCE ON TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY -TMREES15 | 2015年 / 74卷

关键词：

Diagnosis; Fuzzy logic; Permanent magnet synchronous generators; Stator current amplitudes; inter-turn short-circuit;

D O I：

10.1016/j.egypro.2015.07.779

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：

On line monitoring of PMSG for wind turbine is becoming increasingly important. Knowledge based fuzzy logic approach helps in diagnosing the PMSG for wind turbine faults. The current work presents an effective method for diagnosing the stator side faults such as inter-turn short-circuit and open phase. Stator condition is diagnosed based on the stator RMS values of current amplitude in addition to the knowledge expressed in rules and membership function. The model is implemented in MATLAB/SIMULINK with the data obtained under both healthy and faulty condition. The fuzzy system is able to identify the motor stator condition with high accuracy. (C) 2015 The Authors. Published by Elsevier Ltd.

引用

页码：1323 / 1336

页数：14

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