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A probability evaluation method of early deterioration condition for the critical components of wind turbine generator systems

机译:风力发电机组关键部件早期退化状态的概率评估方法

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摘要

This study determines the early deterioration condition of critical components for a wind turbine generator system (WTGS). Due to the uncertainty nature of the fluctuation and intermittence of wind, early deterioration condition evaluation poses a challenge to the traditional vibration-based condition monitoring methods. Considering the its thermal inertia and strong anti-interference capacity, temperature characteristic parameters as a deterioration indication cannot be adequately disturbed by the uncontrollable noise and uncertainty nature of wind. This paper provides a probability evaluation method of early deterioration condition for critical components based only on temperature characteristic parameters. First, the dynamic threshold of deterioration degree function was proposed by analyzing the operational data between temperature and rotor speed. Second, a probability evaluation method of early deterioration condition was presented. Finally, two cases showed the validity of the proposed probability evaluation method in detecting early deterioration condition and in tracking their further deterioration for the critical components.
机译:这项研究确定了风力涡轮发电机系统(WTGS)关键组件的早期退化状况。由于风的波动性和间歇性的不确定性,早期恶化状态评估对传统的基于振动的状态监测方法提出了挑战。考虑到其热惯性和强大的抗干扰能力,温度特性参数作为劣化指示不能充分受到不可控制的噪声和风的不确定性的干扰。本文仅基于温度特性参数,提供了一种关键部件早期劣化状态的概率评估方法。首先,通过分析温度和转子转速之间的运行数据,提出了劣化度函数的动态阈值。其次,提出了一种早期劣化条件的概率评估方法。最后,有两个案例表明了所提出的概率评估方法在检测早期恶化状况以及跟踪关键组件的进一步恶化方面的有效性。

著录项

  • 来源
    《Mechanical systems and signal processing》 |2016年第8期|729-741|共13页
  • 作者单位

    State Key Laboratory of Equipment and System Safety of Power Transmission and Distribution & New Technology, Chongqing University, Chongqing 400044, China;

    State Key Laboratory of Equipment and System Safety of Power Transmission and Distribution & New Technology, Chongqing University, Chongqing 400044, China;

    State Key Laboratory of Equipment and System Safety of Power Transmission and Distribution & New Technology, Chongqing University, Chongqing 400044, China;

    State Key Laboratory of Equipment and System Safety of Power Transmission and Distribution & New Technology, Chongqing University, Chongqing 400044, China;

    State Key Laboratory of Equipment and System Safety of Power Transmission and Distribution & New Technology, Chongqing University, Chongqing 400044, China;

    Department of Energy Technology, Aalborg University, Aalborg East DK-9220, Denmark;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wind turbine; Condition monitoring; Dynamic threshold; Probability evaluation; Degradation degree;

    机译:风力发电机;状态监测;动态阈值;概率评估;降解度;

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