PDF Based Icing Image Recognition Applied to Online Early Warning System for Transmission Lines
نویسندگان
چکیده
This paper proposes an online early warning technique and the probability distribution function (PDF) based icing image recognition for overhead power transmission lines. The main functionality of the online early warning system for overhead transmission lines firstly suggested in this paper is the early warning of icing, forest fire, lighting, insulator flashover, conductor galloping and invasion which is based on a scheme of the online inspection system for the transmission lines with optical fibre communication technology. As a case study, the early warning of icing is discussed in this paper and a comprehensive icing early warning scheme has been proposed: the local meteorological conditions and mechanical data are applied for the initial criteria of the icing early warning system, and the PDF based image recognition technology is then used to finally decide the icing condition of transmission lines, which can be more effectively dealt with than complex pictures acquired at towers.
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