Experimental emulation of stator turn insulation breakdown during a surge test

The surge test is a well-known offline method to determine the integrity of the turn-to-turn insulation of coils as they are found in transformers or induction machines. There has been a lot of research about various topics related to surge testing like the risk to the health of the turn insulation, the influence of the voltage rise time or the applicability to an operating machine. One important aspect to any diagnostic method is the emulation of the fault condition to prove the feasibility of the diagnostic method. This work suggests a low cost and easily reproducible method to emulate the breakdown of the turn insulation during a surge test, which can be used to experimentally validate the surge test and gain a better insight on the test.

[1]  P. F. Albrecht,et al.  Improved motors for utility applications , 1982 .

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

[3]  T. G. Habetler,et al.  Neural network based on-line stator winding turn fault detection for induction motors , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[4]  Thomas G. Habetler,et al.  A new concept for online surge testing for the detection of winding insulation deterioration , 2010, 2010 IEEE Energy Conversion Congress and Exposition.

[5]  Bin Lu,et al.  Investigation on surge testing for winding insulation fault detection in an online environment , 2009, 2009 IEEE Energy Conversion Congress and Exposition.

[6]  S. Schlichting Automated digital winding test analysis methods , 1993, Proceedings of Electrical/Electronics Insulation Conference.

[7]  G. Stone,et al.  Electrical Insulation for Rotating Machines , 2003 .

[8]  Chanan Singh,et al.  Report of Large Motor Reliability Survey of Industrial and Commercial Installations, Part II , 1985, IEEE Transactions on Industry Applications.

[9]  E. Wiedenbrug,et al.  Impulse testing as a predictive maintenance tool , 2003, 4th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2003. SDEMPED 2003..

[10]  M. Dalva,et al.  A survey of faults on induction motors in offshore oil industry, petrochemical industry, gas terminals and oil refineries , 1994, Proceedings of IEEE Petroleum and Chemical Industry Technical Conference (PCIC '94).

[11]  Thomas G. Habetler,et al.  Experimentally generating faults in rolling element bearings via shaft current , 2003, 4th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2003. SDEMPED 2003..