Induction Machine Rapid Performance Test

Efficiency Test Method A is used in industry to determine the efficiency of induction motors. However, in this method, which is carried out by using a dynamometer, the machine under test shall be brought up to its thermal equilibrium before the data can be collected. This requires running the machine under full load for a considerable amount of time (around 8-h), which implies high cost associated with this test. This paper presents a new simple technique that can significantly reduce the time required for induction machine full-load tests. The proposed technique needs only 30 min of a machine run under full-load conditions. The temperature–speed relationship is the key point in this research work. This relationship is utilized to estimate the machine's full-load temperature. The accuracy of the proposed algorithm is validated by testing two small and two medium-sized machines. The results show acceptable level of accuracy, when they are compared to the corresponding 8-h dynamometer tests conducted on the same machines. The technique can save time and cost associated with the dynamometer test. The proposed algorithm is valid only for totally enclosed fan-cooled type induction motors.

[1]  J. S. Hsu,et al.  Comparison of induction motor field efficiency evaluation methods , 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.

[2]  V. Groza,et al.  Novel method of pre-determining induction machine parameters and energetic efficiency , 2013, 2013 IEEE Electrical Power & Energy Conference.

[3]  Ion Boldea,et al.  Complete Parameter Identification of Large Induction Machines From No-Load Acceleration–Deceleration Tests , 2007, IEEE Transactions on Industrial Electronics.

[4]  E. B. Agamloh,et al.  Induction Motor Efficiency , 2011, IEEE Industry Applications Magazine.

[5]  E. Levi,et al.  A Review of RFO Induction Motor Parameter Estimation Techniques , 2002, IEEE Power Engineering Review.

[6]  Rong-Ching Wu,et al.  Parameter Identification of Induction Machine With a Starting No-Load Low-Voltage Test , 2012, IEEE Transactions on Industrial Electronics.

[7]  Andrea Cavagnino,et al.  The incremental design efficiency improvement of commercially manufactured induction motors , 2012, 2012 IEEE Energy Conversion Congress and Exposition (ECCE).

[8]  Pragasen Pillay,et al.  In-situ induction motor efficiency determination using the genetic algorithm , 1998 .

[9]  Bernd Ponick,et al.  Prediction of Losses and Efficiency for Three-Phase Induction Machines Equipped With Combined Star–Delta Windings , 2017, IEEE Transactions on Industry Applications.

[10]  Pragasen Pillay,et al.  A Novel In Situ Efficiency Estimation Algorithm for Three-Phase IM Using GA, IEEE Method F1 Calculations, and Pretested Motor Data , 2015, IEEE Transactions on Energy Conversion.

[11]  Pragasen Pillay,et al.  A New Stray-Load Loss Formula for Small and Medium-Sized Induction Motors , 2016, IEEE Transactions on Energy Conversion.

[12]  Chetan S. Gajjar,et al.  Analysis of a Nonintrusive Efficiency Estimation Technique for Induction Machines Compared to the IEEE 112B and IEC 34-2-1 Standards , 2015, IEEE Transactions on Industry Applications.

[13]  Giovanni Bucci,et al.  Uncertainty Issues in Direct and Indirect Efficiency Determination for Three-Phase Induction Motors: Remarks About the IEC 60034-2-1 Standard , 2016, IEEE Transactions on Instrumentation and Measurement.

[14]  Pragasen Pillay,et al.  Application of genetic algorithms to motor parameter determination for transient torque calculations , 1997 .

[15]  M. F. Rahman,et al.  A novel method for rapid efficiency measurement of three phase induction motors , 1999 .

[16]  Christine M. Anderson-Cook Practical Genetic Algorithms (2nd ed.): Randy L. Haupt and Sue Ellen Haupt , 2005 .