The Research Of Operating Status Of The Composite Insulators Based On The Online Non-contact Detection Technique

Along with the increasing length of run, the composite insulator is aging due to the influence of electric field, mechanical stress, atmospheric environment, thermal radiation and so on. The phenomenon maybe hydrophobic reduces, umbrella skirt hardening, embrittlement, pulverization, cracking, breakage, surface ablation and so on. It cannot meet the requirement of the power transmission and transformation project antifouling flash. In this paper, against the insufficient of the composite insulators hanging in the electric net, first, putting forward the running composite insulators image characteristics by non-contact method, analysis the stability and security of it, then, research and analysis the factors such as mechanical stress, sunlight, electromagnetic fields and wet or dirt environment’s influence on the image characteristics of the composite insulators, based on the hanging operating characteristics of the composite insulators, analyzing and categorizing the factors of the composite insulators operating status, Obtained the image characteristics of the composite insulators under different factors, next, by hanging in a large sample of different voltage levels, different regions and different years of running the collection of samples of composite insulators, set up the image characteristics library for the composite Insulators, after analysis, get a different spectral characteristics of composite insulators state statistical indicators and trends spectral characteristics of the local laws and mutant, then inducted the Spectral characteristic curve under the influence of various factors, The last, Study on the single factor models and quantitative assessment criteria based on the composite insulators image evolution library with the experimental verification. The results showed that the proposed model in this paper have a better judgment for the three factors such as electrolytic corrosion, contamination and chalking, further, it has a quantitative classification on the influence level, But to the hydrophobic factors, it is difficult to determine. After the summary, we found that the method proposed in the paper can only detect the electrical operating state of composite insulators, But the factors of the hydrophobic to the composite insulators is too more to detected, When the surface of composite insulators appear chalking or contamination state, the hydrophobic base on the Substances on their surface, resulting in different levels of hydrophobic profiles have no obvious features. For such problems, we should quantitative and gradually broken down the hydrophobic factors of the composite insulators, and introduced it into the image characteristics sample library, So as to obtained a more targeted composite insulators operating status online non-contact detection technique.