Electrical signature analysis based condition monitoring and diagnostics techniques for wind turbines

Pinjia Zhang, Delong Lu, Sam Salem
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引用次数: 2

Abstract

Wind power has become the most important component of renewable energy with advances in technology in recent years. Reducing operations and maintenance cost effectively and detecting the fault timely for wind turbines are critical to expand wind power use. Due to difficult access and harsh environment, offshore wind turbines have more urgent need for reducing operations and maintenance costs. This paper reviews typical failure modes of wind turbines and compares condition monitoring and diagnostics techniques for wind turbines based on electrical signature analysis with conventional analysis. With less demand for sensors, electrical signature analysis techniques is the key to promote wind industry.
基于电特征分析的风力涡轮机状态监测与诊断技术
近年来,随着技术的进步,风力发电已成为可再生能源中最重要的组成部分。有效降低风力发电机组的运行维护成本,及时发现故障是扩大风力发电规模的关键。海上风力发电机组由于进出困难、环境恶劣,降低运行维护成本的需求更为迫切。本文综述了风力发电机组的典型故障模式,并对基于电特征分析的风力发电机组状态监测与诊断技术与传统分析技术进行了比较。随着对传感器需求的减少,电特征分析技术成为推动风电产业发展的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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