OPEN ACCESS
This paper deals with the modeling of insulation material lifespan in a partial discharge regime. Accelerated aging tests are carried out to determine the lifespan of polyester-imide insulation films under different various stress conditions. The insulation lifespan logarithm is modeled as a function of different factors: the electrical and frequency stress logarithms and an exponential form of the temperature. The model parameters are estimated on a training set. The significance of the factors is evaluated through the analysis of variance (ANOVA). In a first step, the design of experiments method (DoE) is considered. The associated lifespan model is linear with respect to the factors. This method is well known for reducing the number of experiments while providing a good accuracy. In a second step, the response surface method (RSM) is considered. This method takes also into account some second order terms and thus possible interactions between the stress factors. Performance of the two methods are analyzed and compared on a test set.
electrical insulation, accelerated aging, lifespan estimation, modeling, response surface, analysis of variance, films, twisted pairs
[1] Bartnikas R., Morin R. (2004). Multi-stress aging of stator bars with electrical, thermal, and mechanical stresses as simultaneous acceleration factors, IEEE Trans. Ener. Conv., vol. 19, n° 4, p. 702-714.
[2] Bertsche B. (2008). Reliability in Automotive and Mechanical Engineering - Determination of Component and System Reliability, Springer.
[3] Crine J.P. (2005). On the interpretation of some electrical aging and relaxation phenomena in solid dielectrics, IEEE Trans. Dielec. Elec. Insul., vol. 12, n° 6, p. 1089-1107.
[4] Fisher R.A. (1935). The Design of Experiments, Oliver and Boyd, Edinburgh.
[5] Guastavino F., Dardano A., Torello E., Massa G. F. (2011). PD activity inside random wire wound motor stator insulation and early failures: A case study analysis, in Proceeding of IEEE SDEMPED, p. 283-287.
[6] Kokko V.I.J. (2012). Ageing Due to Thermal Cycling by Power Regulation Cycles in Lifetime Estimation of Hydroelectric Generator Stator Windings, in Proceeding of the International Conference on Electrical Machines (ICEM).
[7] Lahoud N., Faucher J., Malec D., Maussion P. (2011). Electrical ageing modeling of the insulation of low voltage rotating machines fed by inverters with the design of experiments (DoE) method, in Proceeding of IEEE SDEMPED.
[8] Lahoud N., Faucher J., Malec D., Maussion P. (2013). Electrical Aging of the Insulation of Low Voltage Machines: Model definition and test with the Design of Experiments. Industrial Electronics, IEEE Transactions on, n° 99, p. 4147-4155,
[9] Mazzanti G. (2009). The combination of electro-thermal stress, load cycling and thermal transients and its effects on the life of high voltage ac cables, IEEE Trans. Dielec. and Elec. Insul., vol. 16, n° 4, p. 1168-1179.
[10] Myers R.H., Montgomery D.C. (2002). Response Surface Methodology, A John Wiley and Sons Inc. Publication.
[11] Ortega D. F., Castelli-Dezza F. (2010). On line partial discharges test on rotating machines supplied by IFDs, in Proceeding of IEEE ICEM.
[12] Pillet M. (2001). Les plans d’expériences par la méthode Taguchi, Les Editions d’Organisation, Paris.
[13] Tavner P.J. (2008). Review of condition monitoring of rotating electrical machines, IET Electr. Power Appl., vol. 2, n° 4, p. 215-247.
[14] Weisberg S. (2005). Applied linear regression, A John Wiley & Sons Inc. Publication
[15] Yang J., Lee S.B., Yoo J., Lee S., Oh Y., Choi C. (2007). A Stator Winding Insulation Condition Monitoring Technique for Inverter-Fed Machines, IEEE Trans. Power Elec., vol. 22, n° 5, p. 2026-2033.