The paper has three parts. The first part presents the characteristics of the power transformers that make the object of the analysis and their loading characteristics (load curve, over-voltages, over-currents). The second part shows the state characteristics of the electric insulating oil for each transformer under analysis, in terms of some essential state indicators: dielectric rigidity, tangent to the angle of losses and concentration of the seven essential gases (H 2 , CH 4 , C 2 H 6 , C 2 H 4 , C 2 H 2 , CO and CO 2). The third part of the paper makes an analysis of the level of correlation between the power transformer straining degree and the state characteristics of the electric insulating oil. Based on the results obtained proposals are made regarding the ways of reclaiming and replacing or the electric insulating oil in power transformers depending on the transformer degree of straining.
The paper represents a reaction to the alarm signal made by the physician of Oradea's Power Distribution Company (S.D. Oradea). The physician noticed above the average values tendency to illness, by the operating personnel from the electric stations. The first part contains some considerations on the risk concept. References are made to risk factors, evaluation of damage level, and risk management in power companies. The second part presents the results of the study made in S.D. Oradea, regarding the electromagnetic pollution in high and medium voltage stations. There are presented maximum values of electric field intensity distribution and the induction of magnetic field; references are made on the risk's influence on the electric station operators.
The purpose of the present paper is identifying and statistical testing of random variables time between failures (TBF) and time to corrective maintenance (TCM) for an 110kV power equipments sample, based upon the historical data regarding their operational behavior in a given period of time. Through statistical analysis of the relevant data we established the distribution functions and probability density functions for the variables TBF and TCM.
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