考虑数字成像的GIS设备机械振动故障控制方法
Mechanical Vibration Fault Control Method of GIS Equipment Considering Digital Imaging
卫永刚 1张志刚 1吴文平 1张岩 1马贵荣1
作者信息
- 1. 国能朔黄铁路发展有限责任公司,山西原平 034100
- 折叠
摘要
GIS设备故障控制方法由于未将机械振动故障信息与信号能量结合起来进行量化分析,导致控制灵敏度不佳,为此,结合数字成像与机械振动故障信息,通过射线能量分布矩阵对GIS设备机械振动故障进行控制.首先,经X射线透照GIS设备后,根据X射线的衰减程度,通过二维平面图转换,获取DR探测器上形成的射线能量分布矩阵图,通过数模软件转换,最终得到GIS设备数字图像,得到GIS设备的裂纹、气孔和缩孔等故障信息,以此对GIS设备机械振动故障控制分析;其次,通过中值滤波去除图像中的脉冲噪声部分,应用小波滤波去除图像中的散斑噪声部分,根据模糊增强算法对GIS设备数字图像进行增强处理;然后,基于神经网络构建GIS设备机械振动故障识别函数,将处理后的GIS设备数字图像输入至故障识别函数完成GIS设备机械振动故障类型识别,得到GIS设备机械振动故障类型;最后,结合RBF神经网络与PID构建故障控制模型,利用梯度下降法获得RBF神经网络模型的控制参数,完成GIS设备机械振动故障控制.实验结果表明,所提方法的GIS设备机械振动故障控制效果好,故障控制灵敏度高,具有较高的实际应用价值.
Abstract
GIS equipment fault control method does not combine mechanical vibration fault informa-tion with signal energy for quantitative analysis,resulting in poor control sensitivity.Therefore,this paper will combine digital imaging and mechanical vibration fault information to control GIS equipment mechani-cal vibration fault through ray energy distribution matrix.First of all,after the GIS equipment is transillu-minated by X-ray,according to the attenuation degree of X-ray,the ray energy distribution matrix dia-gram formed on DR detector is obtained through two-dimensional plan transformation,and finally the digital image of GIS equipment is obtained through digital analog software transformation so as to obtain the fault information of GIS equipment such as cracks,air holes,shrinkage holes,and so on,by which the mechanical vibration fault of GIS equipment can be controlled and analyzed;secondly,the impulse noise in the image is removed by median filtering,and the speckle noise in the image is removed by wavelet filte-ring.the digital image of GIS equipment is enhanced according to the fuzzy enhancement algorithm;then,the GIS equipment mechanical vibration fault identification function is constructed based on neural net-work,and the processed GIS equipment digital image is input to the fault identification function to com-plete the identification of the GIS equipment mechanical vibration fault type,and the GIS equipment me-chanical vibration fault type is obtained;finally,combining RBF neural network and PID,the fault control model is built,and the control parameters of RBF neural network model are obtained by gradient descent method to complete the mechanical vibration fault control of GIS equipment.The experimental results show that the proposed method has good performance in controlling mechanical vibration faults of GIS e-quipment,high sensitivity in fault control,and high practical application value.
关键词
数字成像/X射线/GIS设备/机械振动/故障控制Key words
digital imaging/X-ray/GIS equipment/mechanical vibration/fault control引用本文复制引用
基金项目
朔黄铁路公司科技创新项目(SHYP-22-12)
出版年
2024
国家科技期刊平台
NSTL
万方数据