Development of models to extract ambient variables influence from outdoor thermographic inspections

Abstract

Infrared thermography is widely applied to power systems in the power substations and in the overhead transmission lines condition monitoring, aiming at continuous operation and maintenance purposes. As applied in an outdoor environment, the themographyc inspection is influenced by a number of ambient variables such as wind, solar radiation, humidity, and so forth. The aim of this paper is to present the development of mathematical models to extract the influence of ambient variables that can influence the diagnostic of a power system component based on thermographic inspection.