大功率逆变器的键合图模型及故障诊断方法
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国家自然科学基金资助项目(60974048); 湖南省高校创新平台开放基金资助项目(11K027); 湖南省研究生科研创新项目(CX2012B393)


Bond graph model and fault diagnosis method for high-power three-phase inverter
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    摘要:

    大功率逆变器是风力发电机组中主要的变流装置之一,也是故障发生比较多的装置.提出将键合图与解析冗余方法相结合的故障诊断方法,建立元器件的键合图故障诊断模型、故障解析冗余关系及特征矩阵,通过观测矩阵和特征矩阵的对比,进行系统的故障检测.在20-sim软件中的仿真实验结果表明该方法对于大功率逆变器的故障诊断具有良好的便捷性和有效性.

    Abstract:

    High power inverter is one of the most converter devices in wind turbine generator systems, and also has many faults in working. A fault diagnosis method was proposed which combines analytical redundancy with bond graph model for high power inverter. Bond graph model for the system and establishing diagnostic bond graph model were built, with analytical redundancy relationship and its fault characteristic matrix were established at the same time. Fault was detected and isolated quickly through comparing the observed characteristics matrix and fault characteristic matrix. The simulation results in 20-sim demonstrate that the method is convenient and effective for High power inverter fault diagnosis.

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王俊年,龚明,王海乾.大功率逆变器的键合图模型及故障诊断方法[J].湖南科技大学学报(自然科学版),2014,29(1):

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  • 在线发布日期: 2014-03-14