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Design and Development of Condition Monitoring System for Wind Turbines Based on Generator Output Voltages

机译:基于发电机输出电压的风力涡轮机状态监测系统的设计与开发

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摘要

As wind energy assumes greater importance in remote and offshore locations, an effective and reliable condition monitoring system (CMS) has become necessary for wind turbines (WTs). Conventional CMSs used in the power generation industry have been applied to WTs commercially. However, the operating environment of a WT is much different from that of a power plant. Moreover, current CMSs require the deployment of various sensors and computationally intensive analysis techniques. An empirical and low-cost CMS against shaft imbalance faults and generator circuit faults is proposed in this work. The diagnostic process of the CMS is merely based on generator outputs. Since the air gap between the rotor and the stator of a generator is limited by rigid bearings, diagnosis rules for shaft imbalance faults are formulated on the basis of experimental results with the aid of a specially designed WT simulation platform. Once a test at a specified speed has been performed, the error limits of the diagnosis for generator outputs can be determined. The proposed fault recognition procedure is practical and easy to conduct. The efficacy of the proposed CMS against four types of fault, namely, low-speed shaft imbalance, high-speed shaft imbalance, and short circuit and open circuit of a generator, has been validated practically on the WT simulation platform.
机译:随着风能在远程和海上地点的情况下,在远程和近海地点方面的重要性,风力涡轮机(WTS)需要有效可靠的状态监测系统(CMS)。在发电工业中使用的传统CMS已经在商业上应用于WTS。然而,WT的操作环境与发电厂的操作环境很大。此外,目前的CMS需要部署各种传感器和计算密集型分析技术。在这项工作中提出了一种针对轴不平衡故障和发电机电路故障的经验和低成本CM。 CMS的诊断过程仅仅基于发电机输出。由于转子之间的气隙和发电机的定子受到刚性轴承的限制,因此借助于专门设计的WT模拟平台,基于实验结果配制轴不平衡故障的诊断规则。一旦已经执行了指定速度的测试,可以确定发电机输出的诊断的误差限制。所提出的故障识别程序是实用且易于进行的。实际上在WT仿真平台上实际上验证了所提出的CMS对抗四种故障,即低速轴不平衡,高速轴不平衡和短路和开路和开路电路。

著录项

  • 来源
    《Sensors and materials》 |2020年第3期|895-907|共13页
  • 作者单位

    Computer and Intelligent Robot Program for Bachelor Degree National Pingtung University No. 4-18 Minsheng Rd. Pingtung City Pingtung County 90003 Taiwan;

    Department of Mechanical Engineering National Chin-Yi University of Technology No. 57 Sec. 2 Zhongshan Rd. Taiping Dist. Taichung City 41170 Taiwan;

    Graduate Institute of Precision Manufacturing National Chin-Yi University of Technology No. 57 Sec. 2 Zhongshan Rd. Taiping Dist. Taichung City 41170 Taiwan;

    Department of Mechanical Engineering National Chin-Yi University of Technology No. 57 Sec. 2 Zhongshan Rd. Taiping Dist. Taichung City 41170 Taiwan;

    Department of Mechanical Engineering Southern Taiwan University of Science and Technology No. 1 Nan-Tai St. Yungkang Dist. Tainan City 71005 Taiwan;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    wind turbine; condition monitoring; rotor imbalance; signal processing;

    机译:风力涡轮机;状态监测;转子不平衡;信号处理;

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