Volume 1, Issue 1, 2007
An Approach of Condition Monitoring of Induction Motor Using MCSA
Neelam Mehla, Ratna Dahiya
Abstract—With the industrial growth, it has become necessary to monitor the condition of the machine/system. Electrical machine being the most sensitive part has great importance for the researcher to monitor the faults diagnosis. Three phase squirrel cage motor is normally use for industrial purposes. Various techniques are used to control the speed such as DTC (Direct Torque Control), Vector Control, Close Loop Feedback Control etc. Small single phase Induction machine are used for home appliances hence the machine monitoring plays an important role for industrial as well as domestic appliances growth. Various fault detection method has been used in past two decades. Special attention is given to non-invasive methods which are capable to detect fault using major data without disassembly the machine. The Motor Current Signature Analysis (MCSA) is considered the most popular fault detection method now a day because it can easily detect the common machine fault such as turn to turn short ckt, cracked /broken rotor bars, bearing deterioration etc. The present paper discusses the fundamentals of Motor Current Signature Analysis (MCSA) plus condition monitoring of the induction motor using MCSA.
I. INTRODUCTION
T
he operators of induction motor drives are under continual pressure to reduce maintenance costs and prevent unscheduled downtimes that result in lost production and financial income. Many operators now use online condition-based maintenance strategies in parallel with conventional planned maintenance schemes. However, it is still the operator who has to make the final decision on whether to remove a motor from service or let it run based on information from condition monitoring systems. A crucial point about motor current signature analysis (MCSA) is that
References: Thomson, W. T. and Orpin, P., “Current and Vibration Monitoring for Fault Diagnosis and Root Cause Analysis of Induction Motor Drives,” Proceedings of Thirty-First Turbomachinery Symposium, Turbo machinery Laboratory, Texas A&M University, College Station, Texas, pp. 61-67, 2002. Hargis, C., Gaydon, B. G., and Kamish, K., “The Detection of Rotor Defects in Induction Motors,” Proceedings of IEE EMDA Conference, London, England, pp. 216-220, 1982. Thomson, W. T., “Diagnosing Faults in Induction Motors Engineering Ideas,” Electrical Review, Vol. 215, no. 17, 1984. Thomson, W. T. and Rankin, D.,“Case Histories of Rotor Winding Fault Diagnosis in Induction Motors,” Proceedings Second International Conference on Condition Monitoring, University College of Swansea, Wales, United Kingdom, 1987. 5. Kliman, G. B. and Stein, J. “Induction Motor Fault Detection via Passive Current Monitoring,” Proceedings of International Conference (ICEM’90), Massachusetts Institute of Technology, Boston, Massachusetts, pp. 13-17, 1990. 6. Alger, P. L., Induction Machines, New York, New York: Gordon and Breach, 1965. 7. Yang, S. J.,“Low Noise Electric Motors,” Monographs in Electrical and Electronic Engineering, IEE, Savoy Place, London, England, 1981. 8. Cameron, J. R., Thomson, W. T., and Dow, A. B., “Vibration and Current Monitoring for Detecting Airgap Eccentricity in Large Induction Motors,” IEE Proceedings, Vol. 133, no. 3, 1986. 9. Tavner, P. and Penman, J., “Condition Monitoring of Electrical Machines”, Research Studies Ltd., London, England: John Wiley & Sons, 1987. 10. Thomson, W. T. and Barbour, A., “On-line Current Monitoring and Application of a Finite Element Method to Predict the Level of Airgap Eccentricity in 3-Phase Induction Motors,” IEEE Transactions on Energy Conversion, Vol.13, no.4, pp. 347-357, 1998. 11. Thomson, W. T., Rankin, D., and Dorrell, D. G.,“On-line Current Monitoring to Diagnose Airgap Eccentricity—An Industrial Case History of Large HV, 3-Phase Induction Motors,” IEEE Transactions on Energy Conversion, 1999. 12. Thomson, W. T., “On-Line MCSA to Diagnose Shorted Turns in Low Voltage Stator Windings of 3-Phase Induction Motors Prior to Failure,” Proceedings of IEEE Conference on Electrical Machines and Drives (IEMDC), Massachusetts Institute of Technology, Boston, Massachusetts, 2001. 17