Study On Excitation Structure Model And Quantitative Identification Of Broken Wires For Mine Wire Rope

Wire rope is widely used in large-scale hoisting,transportation and other equipment in coal mines.During use,wire breakage and other damage will inevitably occur,which will reduce the load-bearing capacity and cause rope-breaking accidents,which will affect coal mine safety production.Therefore,wire rope damage detection is very important.Aiming at the problem of quantitative detection of broken wire damage of steel wire rope,the wire rope excitation structure model,the method of magnetic flux leakage signal noise reduction,the method of feature extraction and quantitative identification of broken wire signal are deeply studied.The important parameters of the excitation structure model is determined.According to the material characteristics,magnetization characteristic curve and working environment of the mine wire rope,the initial magnetization structure model is established.By the analysis different magnetization models,the form of the multi-circuit excitation structure is determined,which provides the foundation for the design of the model of excitation structure model.The mathematical model of a single permanent magnet ring is established,and the simulation verification is carried out with maxwell electromagnetic simulation software,and the validity of the model is confirmed.As a result,a theoretical model of the combined permanent magnet ring is established,the key parameters affecting the magnetic field intensity of the combined permanent magnet ring axis is studied,and the key parameters is optimized,and a multi-circuit excitation structure model of the radial permanent magnet ring combination is designed.The permanent magnet ring combined excitation structure model is used to carry out a comparison and analysis of the magnetization of the polarization state of the wire rope.The multi-loop excitation structure model of the radial permanent magnet ring combination realizes the uniform magnetization of the polarization state of the wire rope,which can be applied to the magnetization of mine wire rope in service.The noise source and characteristics of the magnetic flux leakage signal of the mine wire rope is analyzed.The noise of the noisy magnetic flux leakage signal is reduced by the wavelet noise reduction method.By analyzing the parameters that affect the effect of wavelet noise reduction,the optimal wavelet noise reduction parameters are determined,and the signal-to-noise ratio of the magnetic flux leakage signal of wire rope damage is greatly improved.The experimental platform of wire rope damage detection is constructed.By analyzing the characteristics of different broken wire magnetic flux leakage signals of wire rope,the characteristics of magnetic flux leakage signals of wire rope are determined,and the quantitative identification model of broken wire based on BP neural network is established.The parameters of BP neural network are optimized by using genetic algorithm,which greatly reduces the relative error of quantitative identification of broken wire of wire rope,the accurate and quantitative identification of broken wire of wire rope is realized.