Abstract

Galloping of power line conductors is a random phenomenon. Its randomness is characterized by several random variables including wind speed, wind direction, ice shape, wind angle of attack, ice thinness, span length, conductor size, galloping amplitude, the number of loops per span, time of day, geographical location, and so on. In spite of years of research, many mathematical studies, wind tunnel tests, considerable field experience, the notion of correctly observing and interpreting the actual galloping event remains a challenge. The objectives of the proposed methodology are to reduce the field observations to a binary (on-off) choice, establish quantitative measures of probability based on binary statistics, reduce the number of observations required for the proof (or disproof) of a particular device, and apply the methodology of binary statistics to the galloping problem.

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