采用时频矩阵奇异值分解的配电开关振动信号特征量提取方法

发布时间：2018-04-23 05:37

本文选题：配电开关 + 振动信号　；参考：《中国电机工程学报》2014年28期

【摘要】：配电开关振动信号具有非线性非平稳特性,蕴含有机械状态信息。提出一种采用时频矩阵奇异值分解的配电开关振动信号特征量提取方法,对振动信号做希尔伯特-黄变换以进行带通滤波,构造其时频矩阵,对该矩阵进行奇异值分解,可将振动信号的特征信息分解到不同的时频子空间,以得到的时频矩阵奇异值作为振动信号的特征量,用于表征配电开关的机械状态。对配电开关在正常及卸掉A相触头绝缘拉杆、机械结构卡涩、底座螺丝松动等3种典型故障情况下实测振动信号的时频矩阵奇异值做模糊c均值聚类,结果表明该特征量能够准确、有效地表征配电开关的机械状态。
[Abstract]:The vibration signal of the distribution switch has nonlinear non-stationary characteristics and contains the information of mechanical state. A method of extracting the eigenvalue of the vibration signal of a distribution switch using the singular value decomposition of time frequency matrix is proposed. The vibration signal is made by Hilbert yellow transform to carry on the bandpass filter, and its time frequency matrix is constructed, and the singular value decomposition of the matrix is carried out. The characteristic information of the vibration signal is decomposed to different time frequency subspaces, and the singular value of the time frequency matrix is used as the eigenvalue of the vibration signal to characterize the mechanical state of the distribution switch. The distribution switches are measured in 3 typical failures, such as the normal and unloading of the insulation rod of the A phase contact, the astringent mechanical structure and the loosening of the bottom screw. The fuzzy C means clustering is applied to the singular value of the time-frequency matrix of the dynamic signal. The results show that the characteristic quantity can accurately and effectively represent the mechanical state of the distribution switch.

【作者单位】：福州大学电气工程与自动化学院;福建省晋江市电力有限责任公司;
【分类号】：TM564

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