Title :
A novel approach towards the determination of the time to breakdown of electrical machine insulating materials
Author :
Nyanteh, Yaw ; Graber, Lukas ; Srivastava, Sanjeev ; Edrington, Chris ; Cartes, David ; Rodrigo, Horatio
Author_Institution :
Center for Adv. Power Syst., Florida State Univ., Tallahassee, FL, USA
Abstract :
This paper presents new approach to using Partial Discharge (PD) data for the prediction of the Remaining Useful Life (RUL) of dielectric materials undergoing breakdown. The method presented uses a thermodynamic macro-model in conjunction with an artificial neural network to associate the features in the PD data detected during breakdown to the electrical tree characteristics. The method is presented using electrical tree simulation data from a new dielectric breakdown simulation model. The simulation model is confirmed using experimental data.
Keywords :
dielectric materials; electric machine analysis computing; electric machines; insulating materials; machine insulation; neural nets; partial discharges; remaining life assessment; thermodynamics; trees (electrical); PD data; RUL; artificial neural network; dielectric breakdown simulation model; dielectric materials; electrical machine insulating materials; electrical tree simulation data; partial discharge data; remaining useful life; thermodynamic macro-model; time to breakdown determination; Breakdown voltage; Dielectric materials; Equations; Insulation; Mathematical model; Partial discharges; Dielectrics; artificial neural network; electrical tree; partial discharge; remaining useful life;
Journal_Title :
Dielectrics and Electrical Insulation, IEEE Transactions on
DOI :
10.1109/TDEI.2014.004156
