A new statistical-physical model to the description of aging of electroinsulating systems

Abstract

Trouble-free operation of electroinsulating subsystems is necessary for proper operation of the power system. Insulation systems are one of the most important elements of power system. For this reason, it is the effort to establish the most sophisticated diagnostic system. This system should be able to inform the maintenance of a possible failure. In this paper is present a physical model of thermal aging and statistical model using Weibull distribution. From these models of aging was then designed a new probabilistic model using thermal aging. Furthermore, this article describes the experiment and application of measurement data to the new designed model.

Proposal of Physical-Statistical Model of Thermal Aging Respecting Threshold Value

“…Expression of temperature T and substituting the value of β(T) = 1 (see previous reasoning (Equation (25)), the effect of the threshold value can be estimated from Equation (26).…”

“…The course of estimated parameters ∧ β and ∧ η -depending on the reciprocal temperature-was set based on estimations of the individual parameters of the Weibull distributions (Table 2) by using Equations (21) and (25). This course is shown in Figures 9 and 10 and was used to design the final probabilistic model.…”