Early detection of insulation failures on electric generators through online Frequency Response Analysis

Abstract This work presents an application of Frequency Response Analysis (FRA) on the detection of insulation failures on electric generators. An equipment for FRA of electric machines has been developed and its online connection to an induction generator through a C–L–C T-type coupling is presented. It is shown that the coupling circuit implies in a design trade-off between the attenuation of the power signal at fundamental frequency (which may damage the electronics of the analyzer) and the useful area obtained in the FRA spectra. It is shown that a C–L–C coupling greatly improves the performance of a regular capacitive coupling, improving its attenuation at fundamental frequency while maintaining similar frequency response at high frequencies. Experimental results are presented to validate the proposed equipment.

[1]  P. Picher,et al.  Impedance Characterization of Hydro Generator Stator Windings and Preliminary Results of FRA Analysis , 2008, Conference Record of the 2008 IEEE International Symposium on Electrical Insulation.

[2]  K. Frohlich,et al.  Insulation Failure Mechanisms of Power Generators [Feature Article] , 2008, IEEE Electrical Insulation Magazine.

[3]  Thomas G. Habetler,et al.  A Survey on Testing and Monitoring Methods for Stator Insulation Systems of Low-Voltage Induction Machines Focusing on Turn Insulation Problems , 2008, IEEE Transactions on Industrial Electronics.

[4]  Clyde V. Maughan Root-cause diagnostics of generator service failures , 2005, IEMDC 2005.

[5]  F. R. Blanquez,et al.  Evaluation of the applicability of FRA for inter-turn fault detection in stator windings , 2013, 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED).

[6]  G.C. Stone,et al.  Electrical insulation for rotating machines-design, evaluation, aging, testing, and repair - Book Review , 2004, IEEE Electrical Insulation Magazine.

[7]  C. Sumereder,et al.  Statistical lifetime of hydro generators and failure analysis , 2008, IEEE Transactions on Dielectrics and Electrical Insulation.

[8]  P. Nussbaumer,et al.  Online detection of insulation degradation in inverter fed drive systems based on high frequency current sampling , 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.

[9]  Kevin Alewine,et al.  A review of electrical winding failures in wind turbine generators , 2012, 2011 Electrical Insulation Conference (EIC)..

[10]  D. Roger,et al.  A New Method for AC Machine Turn Insulation Diagnostic Based on High Frequency Resonances , 2007, IEEE Transactions on Dielectrics and Electrical Insulation.

[11]  Marek Florkowski,et al.  Detection of winding faults in electrical machines using the frequency response analysis method , 2004 .

[12]  E. Rebollo,et al.  Application of Sweep Frequency Response Analysis (SFRA) for inter-turn detection of in medium-voltage coils manufacturing. , 2012 .

[13]  Erik Leandro Bonaldi,et al.  A survey on statistical indexes applied on frequency response analysis of electric machinery and a trend based approach for more reliable results , 2016 .

[14]  S. A. Ryder,et al.  Diagnosing transformer faults using frequency response analysis , 2003 .

[15]  Erik Leandro Bonaldi,et al.  Influence of rotor position on the repeatability of frequency response analysis measurements on rotating machines and a statistical approach for more meaningful diagnostics , 2016 .

[16]  Guillermo Aponte Mayor,et al.  Current Status and Future Trends in Frequency-Response Analysis With a Transformer in Service , 2013, IEEE Transactions on Power Delivery.