Design and Development of On-Line, On-Site, In-Situ Induction Motor Performance Analyser
In the present scenario of energy crises, energy conservation in the electrical machines is very important in the industries. In order to conserve energy, one needs to monitor the performance of an induction motor on-site and in-situ. The instruments available for this purpose are very meager and very expensive. This paper deals with the design and development of induction motor performance analyser on-line, on-site, and in-situ. The system measures only few electrical input parameters like input voltage, line current, power factor, frequency, powers, and motor shaft speed. These measured data are coupled to name plate details and compute the operating efficiency of induction motor. This system employs the method of computing motor losses with the help of equivalent circuit parameters. The equivalent circuit parameters of the concerned motor are estimated using the developed algorithm at any load conditions and stored in the system memory. The developed instrument is a reliable, accurate, compact, rugged, and cost-effective one. This portable instrument could be used as a handy tool to study the performance of both slip ring and cage induction motors. During the analysis, the data can be stored in SD Memory card and one can perform various analyses like load vs. efficiency, torque vs. speed characteristics, etc. With the help of the developed instrument, one can operate the motor around its Best Operating Point (BOP). Continuous monitoring of the motor efficiency could lead to Life Cycle Assessment (LCA) of motors. LCA helps in taking decisions on motor replacement or retaining or refurbishment.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1131693Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 514
 World Energy Resources, 2013 Survey, World Energy Council
 “Energy Statistics – 2015”, Ministry of Statistics and Programme Implementation, Government of India.
 Paul Waide and Conrad U. Brunner, “Energy-Efficiency Policy Opportunities for Electric Motor-Driven Systems”, International Energy Agency (IEA), Energy Efficiency Series 2011.
 Tobias Fleiter and Wolfgang Eichhammer, “Energy efficiency in electric motor systems: Technology, saving potentials and policy options for developing countries”, Development Policy, Statistics and Research Branch Working Paper 11/2011, United Nations Industrial Development Organization, Vienna, 2012.
 Bruno De Wachter, “Application Note – Electric Motor Asset Management”, European Copper Institute, Publication No: Cu0104, Issue: 02, August 2011.
 Yang, M., “Energy efficiency policy impact in India: case study of investment in industrial energy efficiency. In: Energy Policy, 34 (17), 2006, pp. 3104-3114.
 J. S. Hsu, J. D. Kueck, M. Olszewski, D. A. Casada, P. J. Otaduy, and L. M. Tolbert, “Comparison of Induction Motor Field Efficiency Evaluation Methods”, IEEE Transaction on Industry Applications, Vol. 34, No. 1, January/February 1998, pp. 117-125.
 “IEEE Standard Test Procedure for Polyphase Induction Motors and Generators”, IEEE 112 Standards, 2004.
 “Efficiency Test for Induction Motors with Agilent USB Data Acquisition (DAQ) Device Application Note”, Agilent Technologies.
 G. S. Ayyappan, Kota Srinivas, Chenthamarai Selvam, Meenalochani Chander, “Genetic algorithm based on-site Induction Motor Efficiency Monitoring Systems”, Journal of Instrument Society of India, Vol. 39, No. 4, pp. 280-282, December 2009.
 T. Phumiphak and C. Chat-Uthai, “Estimation of Induction Motor Parameters Based on Field Test Coupled with Genetic Algorithm”, Proceedings of 2002 International Conference on Power System Technology, PowerCon 2002, vol. 2, Kunming, China, Oct. 2002, pp. 1199–1203.
 Jafar Mohammadi, Mohammad B.B. Sharifian, Khalil Banan, “Induction Motor Efficiency Estimation using Genetic Algorithm”, Proceedings of World Academy Of Science, Engineering and Technology, January 2005, Volume 3, ISSN 1307-6884.
 Ivan Kostov, Vasil Spasov, Vania Rangelova, “Application of Genetic Algorithms for Determining the Parameters of Induction Motors”, ISSN 1330-3651, Technical Gazette 16, 2 (2009), 49-53.
 “Guide for the use of Electric Motor Testing Methods Based on IEC 60034-2-1”, May 2011, Version 1.1, Electric Motor Systems, Annex (EMSA) Task C – Testing Centres.