Condition monitoring through DWT-PSD-FLS approach of faulty wind generators

IF 1.5 Q4 ENERGY & FUELS Wind Engineering Pub Date : 2023-10-03 DOI:10.1177/0309524x231200237
Lahcène Noureddine, Marouane Hadjadj, Habib Chaouki Ben Djoudi, Ahmed Hafaifa
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引用次数: 0

Abstract

This work investigates the prospect of rotor broken bar defect diagnosis in squirrel cage induction generator-based wind turbine using fuzzy logic system (FLS) of the stator currents. The generator current signal is analyzed through the power spectral density (PSD) to diagnose the magnitudes and frequencies associated with various defects. These magnitudes and frequency components are used to apply the system of Fuzzy logic by simulation software.
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基于DWT-PSD-FLS方法的故障风力发电机状态监测
本文研究了利用定子电流模糊逻辑系统(FLS)诊断鼠笼式风力发电机转子断条缺陷的前景。通过功率谱密度(PSD)分析发电机电流信号,诊断与各种缺陷相关的幅度和频率。这些幅值和频率分量通过仿真软件应用于模糊逻辑系统。
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来源期刊
Wind Engineering
Wind Engineering ENERGY & FUELS-
CiteScore
4.00
自引率
13.30%
发文量
81
期刊介绍: Having been in continuous publication since 1977, Wind Engineering is the oldest and most authoritative English language journal devoted entirely to the technology of wind energy. Under the direction of a distinguished editor and editorial board, Wind Engineering appears bimonthly with fully refereed contributions from active figures in the field, book notices, and summaries of the more interesting papers from other sources. Papers are published in Wind Engineering on: the aerodynamics of rotors and blades; machine subsystems and components; design; test programmes; power generation and transmission; measuring and recording techniques; installations and applications; and economic, environmental and legal aspects.
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