Induction Motor Fault Modeling Based on the Winding Function
The deterioration in electrical equipment, is normal and its process begins as soon as the equipment is installed. Failure to inspect may cause faults. A failure in these devices can represent from thousands of dollars in losses of production to loss of lives, therfore, it is our responsibility as engineers to develop and apply techniques that ensure their optimal operation. There are several maintenance techniques, including condition monitoring which uses vibration and electrical data from motors/generators to diagnose faults. The objective of this work is to develop a computational model of an induction motor based on the winding function technique to model electrical and mechanical faults. This is the first step in order to proceed with a most comprehensive project about condition monitoring of induction machines under fault based on signal processing analysis.
Keywords: faults, induction machines, winding function
 Hodge, N. (2015), “Energy risks – the dangers of power cuts and blackouts”, INSIGHTS Special topic – Emerging risks, Allianz Global Corporate & Specialty, AGCS ALLIANZ, pp. 28-33. Available online: http://www.agcs.allianz.com/insights/expert-riskarticles/energy-risks/
 Ibrahim, A.K., Marei, M.I., El-Gohay H.S., Shehata, S.A., “Modeling of Induction Motor Based on Winding Function Theory to Study Motor under Stator/Rotor Internal Faults”, Proceedings of the 14th International Middle East Power Systems Conference (MEPCON’10), Cairo University, Egypt, December 19-21, 2010, Paper ID
 Lipo, T. A. (2008), Analysis of Synchronous Machines, WisPERC Administrator, University of Wisconsin-Madison
 Mraz, S. (2017). “The Market Outlook for Motors and Drives through 2022”. Machines Design, Published on February 16, 2017. Available online: http://www.machinedesign.com/motorsdrives/market-outlook-motors-anddrives-through-2022.
 Toliyat. H., Nandi, S., Choi S., and Meshgin-Kelk, H. Electric Machines: modeling, conditioning monitoring, and fault diagnosis, CRC Press, 2013
 Waide, P., and Brunner, C.U. (2011). “Energy-efficiency policy opportunities for electric motor-driven systems”, International Energy Agency, France. pp.11. ISSN: 2079-2581. Available online: www.iea.org/Textbase/npsum/ee_for_electricsystemssum.pdf