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Transformer winding modal parameter identification based on poly-reference least-square complex frequency domain method

机译:基于聚参考最小二乘复杂频域方法的变压器绕组模态参数识别

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The modal parameter of transformer winding, as direct reflections of mechanical performance, is an important theoretical foundation in the field of transformer manufacturing and detection of winding condition based on vibration. To identify the modal parameters accurately, a modal experiment on a 10 kV transformer winding was conducted in this paper. A PolyMAX method to identify winding natural frequency and damping ratio was proposed using the experiment to identify transformer winding modal parameters. And it uses modal confidence criterion to verify. The first four order modal parameters, including natural frequency, damping ratio were extracted from the vibration signal. The results demonstrate that all the natural frequencies are far from two times of exciting frequency, which indicates that the design is appropriate. The parameters verifies by MAC, which verifies the effectiveness of the proposed method in identifying modal parameters of transformer windings.
机译:变压器绕组的模态参数,作为机械性能的直接反映,是变压器制造领域的重要理论基础,基于振动检测绕组条件的检测。为了准确地识别模态参数,本文进行了10 kV变压器绕组的模态实验。用实验提出了一种识别绕组固有频率和阻尼比的聚合物方法,以识别变压器绕组模态参数。它使用模态置信基准来验证。从振动信号提取第一个四阶模态参数,包括固有频率,阻尼比。结果表明,所有自然频率远非两倍的激励频率,这表明设计是合适的。参数验证Mac,验证所提出的方法的有效性识别变压器绕组的模态参数。

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