基于MIMU的输电杆塔螺栓状态识别

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振动与冲击 ›› 2023, Vol. 42 ›› Issue (20) : 98-104.

论文

基于MIMU的输电杆塔螺栓状态识别

陶慧1,2，贺国帅1,2，杨金显1,2，艾朋伟1,2

作者信息 +

Status identification of transmission tower bolts based on MIMU

TAO Hui1,2,HE Guoshuai1,2,YANG Jinxian1,2,AI Pengwei1,2

Author information +

文章历史 +

摘要

为识别输电杆塔螺栓是否松动，提出基于微惯性测量组合（micro inertial measurement unit ,MIMU）的输电杆塔螺栓状态识别的方法。首先利用MIMU采集杆塔螺栓的三轴加速度和三轴角速度振动数据，使用五点三次平滑法对振动数据降噪处理；其次提取降噪后振动数据的方差、峰-峰值、峭度、频率方差、重心频率和能量特征，利用熵权法（EWM）计算特征权重，构建特征权重分布；最后将特征权重分布与KL（Kullback Leibler）散度结合对杆塔螺栓状态识别。模拟实验和现场实验表明，当输电杆塔螺栓松动时，方差的权重减小，能量的权重增大，不同状态杆塔螺栓的特征权重分布不同，将特征权重分布与KL散度结合可以识别杆塔螺栓状态。

Abstract

In order to identify whether the transmission tower bolts are loose, a method for identifying the status of transmission tower bolts based on micro inertial measurement unit ( MIMU ) is proposed. Firstly, MIMU is used to collect the vibration data of three-axis acceleration and three-axis angular velocity of tower bolts, and the five-point cubic smoothing method is used to denoise the vibration data. Secondly, the variance, peak-peak, kurtosis, frequency variance, center of gravity frequency and energy characteristics of vibration data after noise reduction are extracted. The entropy weight method ( EWM ) is used to calculate the feature weight and construct the feature weight distribution. Finally, the feature weight distribution and Kullback Leibler（KL）divergence are combined to identify the state of tower bolts. Simulation experiments and field experiments show that when the transmission tower bolts are loose, the weight of variance decreases, and the weight of energy increases. The characteristic weight distribution of tower bolts in different states is different. Combining the characteristic weight distribution with KL divergence can identify the state of tower bolts.

导出引用

陶慧1,2，贺国帅1,2，杨金显1,2，艾朋伟1,2. 基于MIMU的输电杆塔螺栓状态识别[J]. 振动与冲击, 2023, 42(20): 98-104

TAO Hui1,2,HE Guoshuai1,2,YANG Jinxian1,2,AI Pengwei1,2. Status identification of transmission tower bolts based on MIMU[J]. Journal of Vibration and Shock, 2023, 42(20): 98-104

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