Dr.-Ing. Mario Cacciari (1938) received his M. Sc. and Ph. D. in Eiectrical Engineering from the University of Bologna/Italy in 1965 and 1988, respectively. In 1992 he has become Professor of Electrical Technology at the University of Trieste Ataly. His research interests include reliability inference of solid insulating materials and power system harmonics (Dipartimento di Ingegneria dell' Informazione. Universita di Parrna, Male delle Scienze 1, 1-43100 Parma, Italy, T +39521/9O5833, Fax +395 21/905822)
Thermal endurance of electrical insulating materials studied by the use of the kalman filter
Article first published online: 7 SEP 2007
Copyright © 1996 John Wiley & Sons, Ltd.
European Transactions on Electrical Power
Volume 6, Issue 2, pages 103–110, March/April 1996
How to Cite
Cacciari, M., Montanari, G. C. and Barry, C. P. (1996), Thermal endurance of electrical insulating materials studied by the use of the kalman filter. Euro. Trans. Electr. Power, 6: 103–110. doi: 10.1002/etep.4450060205
- Issue published online: 7 SEP 2007
- Article first published online: 7 SEP 2007
- Manuscript Received: 24 MAR 1994
In this paper the Kalman-Filter algorithm is applied to the Arrhenius life model, normally used for thermal endurance characterization of insulating materials. It is shown how this algorithm can be used to derive estimates of Temperature Index and Halving Intervals, i. e. the indices recommended by IEC216, using thermal endurance data relevant to three insulating materials or systems. Depending on scattering of the experimental points from the assumed linear model, especially of the points at the lowest temperatures, estimates performed by Kalman filter and according to IEC216 may considerably differ. Tests of the validity of the model, which are available in the Kalman procedure, show that there is a high probability that the linear model is not valid at the lowest test temperatures.