Abstract
Maintaining the efficiency of AC motors in site equipment is important, given the increasing cost of energy. Reduction of motor efficiency from baseline manufacturer data can go undetected until total failure of the equipment is experienced. This paper introduces motor current signature analysis methods used to detect the early onset of motor efficiency reduction in AC motors controlled by modern Sensorless-Vector Variable Speed Control inverters. A step increase in the resistance of one stator winding is simulated in stages. Off-line processing of motor current data signals using data analysis methods developed for the MATLAB platform is used to identify imbalances caused by subtle stator resistance increases. Initial results indicate that small increases in stator resistances can be observed in the motor current signals received after data processing techniques have been used on the measured signals. The test results are presented herein along with details on the research work to be continued.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Noah B (2007) Identifying motor defects through fault zone analysis. http://www.reliableplant.com/Read/4288/motor-defects-fault-zone. Accessed 10 Feb 2014
Williamson S, Mirzoian K (1985) Analysis of cage induction motors with stator winding faults. IEEE Trans Power Apparatus Syst PAS-104(7):1838–1842
Siemens (2004) Simovert Masterdrives 2 Compendium, p 906
Austin HB (1999) The impact that voltage and frequency variations have on AC induction motor performance and life in accordance with NEMA MG-1 standards. In: Conference record of 1999 annual pulp and paper industry technical conference (Cat. No.99CH36338)
John S, Dan G (2007) New motors offer better performance. http://touchstoneenergy.coopwebbuilder2.com/sites/touchstoneenergy/files/images/BEA/Technology/NewMotorsOfferBetterPerformance.pdf. Accessed 10 Feb 2014
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Lane, M., Ashari, D., Gu, F., Ball, A.D. (2015). Investigation of Motor Current Signature Analysis in Detecting Unbalanced Motor Windings of an Induction Motor with Sensorless Vector Control Drive. In: Sinha, J. (eds) Vibration Engineering and Technology of Machinery. Mechanisms and Machine Science, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-09918-7_71
Download citation
DOI: https://doi.org/10.1007/978-3-319-09918-7_71
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09917-0
Online ISBN: 978-3-319-09918-7
eBook Packages: EngineeringEngineering (R0)