Mechanical Vibration Fault Control Method of GIS Equipment Considering Digital Imaging
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.
digital imagingX-rayGIS equipmentmechanical vibrationfault control
国家科技期刊平台
NSTL
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